{"id":"W186666110","doi":"10.1520/jfs14920j","title":"DNA Typing Results from Two Urban Subpopulations of Pakistan","year":2001,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"National Institute of General Medical Sciences","keywords":"Typing; DNA; DNA profiling; Computational biology; Genetics; Medical emergency; Biology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002045993,0.00008345329,0.0002215202,0.0002789605,0.0005042392,0.0001053968,0.0005000602,0.00004660906,0.00009591447],"category_scores_gemma":[0.0003379586,0.00006168211,0.000144896,0.001109624,0.001058281,0.0004794896,0.00002490705,0.0001149992,0.000002273675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002420269,"about_ca_system_score_gemma":0.000297392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004431269,"about_ca_topic_score_gemma":0.01398262,"domain_scores_codex":[0.9980859,0.0001460925,0.0006198639,0.0001620286,0.0007323755,0.0002537817],"domain_scores_gemma":[0.9984447,0.0003526444,0.0007010138,0.0001133472,0.0002548791,0.0001334199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001966558,0.0001303681,0.6766809,0.000004213357,0.0001163638,0.00002848066,0.05301496,0.0002949254,0.0005124245,0.08600669,0.00658668,0.1764273],"study_design_scores_gemma":[0.002240577,0.0006335652,0.6534241,0.0003582338,0.0001452391,0.00003006882,0.08088426,0.0002675549,0.0006041927,0.2039041,0.05702973,0.0004784384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561914,0.000642668,0.0001329319,0.002158342,0.0008565469,0.00004137497,0.00001680258,0.00001194779,0.03994801],"genre_scores_gemma":[0.9964807,0.000263499,0.002598904,0.00004229438,0.0004080005,2.334992e-7,0.000001374196,0.000002614241,0.0002023905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1759488,"threshold_uncertainty_score":0.7802628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08259264600828345,"score_gpt":0.3721443187838908,"score_spread":0.2895516727756073,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}