{"id":"W2325725151","doi":"10.1080/00450618.2015.1128969","title":"Model forensic science","year":2016,"lang":"en","type":"article","venue":"Australian Journal of Forensic Sciences","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Australian Research Council","keywords":"Impartiality; Transparency (behavior); Adversarial system; Forensic science; Engineering ethics; Shadow (psychology); Political science; Criminal investigation; Psychology; Federal Rules of Evidence; Law; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005320544,0.0008849225,0.0006609625,0.002530384,0.002323512,0.007050607,0.002447246,0.004184517,0.01995239],"category_scores_gemma":[0.007529001,0.0003470433,0.0009952039,0.001306473,0.01012437,0.006886057,0.004053188,0.00274351,0.004785456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004398933,"about_ca_system_score_gemma":0.005362727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003249123,"about_ca_topic_score_gemma":0.002434109,"domain_scores_codex":[0.9966347,0.001669396,0.0001364279,0.0005841828,0.0007629774,0.0002124307],"domain_scores_gemma":[0.996265,0.001837305,0.0002364154,0.000865936,0.0005535235,0.0002417003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002810405,0.000008223909,0.00009490931,0.00003379026,0.000004056206,0.00002502959,0.0001692156,0.0008789115,0.00002578789,0.9925538,0.00235534,0.003848047],"study_design_scores_gemma":[0.000007792517,0.00001110745,0.00006693687,0.0001075287,0.000003936568,0.00008738019,0.0001766026,0.003893859,0.00005512866,0.9236621,0.07191954,0.000007980027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008110153,0.006547939,0.3397656,0.04566044,0.001473684,0.0003655223,0.0006646111,0.0005930717,0.596819],"genre_scores_gemma":[0.5642661,0.01159524,0.2846117,0.01053339,0.001988815,0.001358903,0.001201351,0.0003097319,0.1241347],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01995239,"threshold_uncertainty_score":0.06674737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2009816039878767,"score_gpt":0.4763507821991619,"score_spread":0.2753691782112853,"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."}}