{ "distribution": { "bytes": 676015, "contentUrl": "/data/neet_mcc_2025_round1_cutoffs.csv", "encodingFormat": "text/csv", "sha256": "7ad78f2f030e95658029377ff43c6c1ddefb2a6e124642be1014f7df622d6b74" }, "fields": [ "allotted_institute", "source_course", "course", "source_quota", "cutoff_sub_category", "source_allotted_category", "cutoff_category", "cutoff_start", "cutoff_end", "allotment_count", "source_pages" ], "identityFields": [ "allotted_institute", "source_course", "source_quota", "source_allotted_category" ], "limitations": [ "This study concerns final MCC 2025 Round 1 allotment records only. It excludes later rounds and independent state counselling and does not validate the separate 2019-2025 exploratory trend release.", "Exact source institute labels are not a verified Admission Guardian college registry. No production cutoff rows are reconciled, corrected or certified by this release.", "Allotments are not evidence that candidates joined, completed document verification or retained seats. Record counts are not confirmed admissions, unique applicants or sanctioned seat capacities.", "Quota comparison cohorts contain different institutions, fees, eligibility conditions and allotment counts. Median differences are descriptive, not causal effects, universal cutoffs or odds of admission.", "The All India versus Delhi University example illustrates separate routes in one source institution, not an entitlement to either route. CW/NRI priority-based profiles are outside the simple quota-comparison headline.", "The downloadable aggregate CSV permits recalculating the published summaries. Full source-to-output reproduction also requires the exact official PDF and the documented parser dependencies; a hash verifies a file but does not supply it." ], "mbbs": { "allotmentRecordCount": 22149, "differentClosingRankLabelCount": 462, "differentClosingRankPercent": 96.85534591194968, "multipleProfileLabelCount": 462, "multipleProfilePercent": 96.85534591194968, "multipleQuotaLabelCount": 60, "openQuotaComparison": [ { "allotmentRecordCount": 3216, "maxClosingAir": 21190, "medianClosingAir": 11032.0, "minClosingAir": 103, "profileCount": 398, "quota": "All India", "sourceInstituteLabelCount": 398 }, { "allotmentRecordCount": 1040, "maxClosingAir": 3971, "medianClosingAir": 1757.5, "minClosingAir": 48, "profileCount": 24, "quota": "Open Seat Quota", "sourceInstituteLabelCount": 24 }, { "allotmentRecordCount": 9244, "maxClosingAir": 734672, "medianClosingAir": 332211, "minClosingAir": 40008, "profileCount": 55, "quota": "Deemed/Paid Seats Quota", "sourceInstituteLabelCount": 55 } ], "profileCount": 2733, "sourceInstituteLabelCount": 477 }, "methodology": [ "Verify the original final Round 1 PDF by the pinned SHA-256 and 1,107-page count, then re-extract all data pages using the canonical parser.", "Require the complete ordered serial sequence 1-26,608, non-decreasing positive AIR, recognized allotted dimensions and actual Allotted status. Reject extraction issues before writing outputs.", "Reuse the canonical aggregation by exact printed institute label, source course, allotted quota and allotted category. Keep source pages and fractional ranks; do not join to Admission Guardian college IDs.", "For MBBS multiplicity, group these profiles by exact printed institute label and count labels with multiple profiles, distinct closing AIR values and distinct quotas independently.", "For the quota table, fix MBBS and Open allotted category, then calculate an unweighted median of institution-profile closing AIRs within each named quota. For an even count, average the two central values.", "Publish only the eleven aggregate columns. Candidate serials, candidate categories and individual allotment records are not published." ], "name": "MCC NEET UG 2025 Round 1: Source-Derived Cutoff Profiles", "publishedAt": "2026-09-10", "recordUnit": "One exact source institute-label/course/allotted-quota/allotted-category profile; allotment records are not confirmed admissions, unique candidates or seat capacity.", "releaseVersion": "1.0.0", "reproducer": { "command": "python archive/seo-research-2026-08/official-sources/publish_mcc_round1_research.py --pdf --workers 2", "dependencyVersions": { "pdfplumber": "0.11.9", "pypdf": "6.10.0" }, "pythonVersion": "3.12.14", "requirementsPath": "archive/seo-research-2026-08/official-sources/mcc_research_requirements.txt", "script": "archive/seo-research-2026-08/official-sources/publish_mcc_round1_research.py", "sourceAvailability": "Original PDF is linked at source.url. A hash-verified copy is retained in the ignored local archive; the PDF and candidate-level extract are not packaged in this public dataset. Install the pinned dependencies from requirementsPath; no production credentials or database access." }, "sameInstitutionExample": { "allottedCategory": "Open", "course": "MBBS", "profiles": [ { "allotmentRecordCount": 14, "closingAir": 103, "openingAir": 54, "quota": "All India", "sourcePages": [ 5, 6 ] }, { "allotmentRecordCount": 94, "closingAir": 1908, "openingAir": 76, "quota": "Delhi University Quota", "sourcePages": [ 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 38, 40, 41, 42, 43, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 63, 64, 65, 66, 67, 68 ] } ], "sourceInstituteLabel": "Maulana Azad Medical College, New Delhi,2 Bahadur Shah Zafar Marg New Delhi, Delhi (NCT), 110002" }, "schemaVersion": 1, "scope": { "allotmentRecordCount": 26608, "courses": [ { "allotmentRecordCount": 479, "course": "B.Sc. Nursing", "profileCount": 65, "sourceInstituteLabelCount": 9 }, { "allotmentRecordCount": 3980, "course": "BDS", "profileCount": 315, "sourceInstituteLabelCount": 86 }, { "allotmentRecordCount": 22149, "course": "MBBS", "profileCount": 2733, "sourceInstituteLabelCount": 477 } ], "profileCount": 3113, "round": 1, "sourceInstituteLabelCount": 572, "year": 2025 }, "semantics": [ "All rank values are the AIR values printed by MCC, including the documented fractional AIR 13767.5; they are not JoSAA-style category ranks.", "Allotted category describes the seat category, not the candidate's personal category. Open allotted-category profiles are not restricted to General-category candidates.", "All India, Open Seat Quota, Deemed/Paid Seats Quota and institutional quotas remain distinct official source labels; no quota label alone verifies a candidate's eligibility or institution ownership.", "Opening and closing AIR are respectively the minimum and maximum AIR among the source allotment records in that exact profile. These are descriptive endpoints, not probability estimates." ], "source": { "authority": "Medical Counselling Committee (MCC)", "bytes": 4123031, "documentDate": "2025-08-12", "pageCount": 1107, "sha256": "95c607c2dbd784c1c0b0a386e9859a022dea36522fc6931727ed9cb67869a8f0", "title": "Final Result for Round-I of NEET UG Counselling 2025", "url": "https://cdnbbsr.s3waas.gov.in/s3e0f7a4d0ef9b84b83b693bbf3feb8e6e/uploads/2025/08/20250813289226788.pdf" }, "validation": { "duplicateProfileCount": 0, "extractionIssueCount": 0, "fractionalRankProfileCount": 1, "serialEnd": 26608, "serialStart": 1 } }