{"id":"W2037839031","doi":"10.1111/j.1556-4029.2007.00456.x","title":"Bioinformatics and Human Identification in Mass Fatality Incidents: The World Trade Center Disaster*","year":2007,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Institute of Justice","keywords":"Identification (biology); Software; Computer science; Data science; Biology","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":[0.002170013,0.00006172248,0.00008524569,0.0001171645,0.0001171745,0.00007259386,0.0002559455,0.00003109173,0.000003902404],"category_scores_gemma":[0.00007651611,0.00003651347,0.00004185558,0.0002164749,0.0006552567,0.00001909752,0.0000524356,0.00009492508,6.854057e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009882217,"about_ca_system_score_gemma":0.00003718964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001225956,"about_ca_topic_score_gemma":0.0004807219,"domain_scores_codex":[0.998956,0.00003472678,0.000404306,0.00009156771,0.0003350695,0.0001783437],"domain_scores_gemma":[0.9995543,0.00002725921,0.0001997717,0.0001168371,0.00004730618,0.0000544658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001884482,0.0001644008,0.6947833,0.00006293888,0.00007486811,0.00002428027,0.002675012,0.0001294428,0.2020869,0.002369239,0.008869382,0.08857177],"study_design_scores_gemma":[0.0008727615,0.0004744966,0.8959769,0.00007216052,0.00001279896,0.0001631984,0.004889065,0.0002137168,0.09067356,0.002780538,0.003711354,0.0001594524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969617,0.0001980633,0.001181768,0.0005481481,0.0001468156,0.0000698471,0.000001886785,7.098121e-7,0.0008911003],"genre_scores_gemma":[0.9984962,0.00003857112,0.00111802,0.000133136,0.0001025573,4.244056e-7,0.000002472312,0.000002298957,0.0001063367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2011936,"threshold_uncertainty_score":0.241432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248920957696135,"score_gpt":0.341916123633467,"score_spread":0.3170240278638535,"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."}}