{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006689574,0.0001305574,0.0003033974,0.0003018182,0.0008612042,0.00003129183,0.0008524437,0.0000894596,0.0007935168],"category_scores_gemma":[0.004686133,0.00006415648,0.0001008576,0.0007549819,0.003875712,0.001478476,0.00009248661,0.0003874725,0.0001703908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203758,"about_ca_system_score_gemma":0.001694198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002670133,"about_ca_topic_score_gemma":0.00002368974,"domain_scores_codex":[0.9966877,0.0001712151,0.0008236821,0.0002606578,0.001299305,0.0007575027],"domain_scores_gemma":[0.9968736,0.0009585571,0.0007239446,0.0002479336,0.0007252552,0.0004707372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003594267,0.0002925567,0.2646175,0.0002232574,0.00008589967,0.0001350495,0.01351903,0.0002284971,0.07619484,0.1421948,0.2779274,0.2242217],"study_design_scores_gemma":[0.008902532,0.006681378,0.1275544,0.009074721,0.0004417417,0.0006331363,0.05919431,0.002021099,0.07584055,0.5486611,0.1589579,0.002037134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314531,0.00003388295,0.0008054951,0.06036612,0.001574289,0.0001421882,0.000003446033,0.0000173993,0.005604045],"genre_scores_gemma":[0.9830232,0.0000364005,0.01271444,0.0008044661,0.0004608899,0.000002444965,6.329965e-8,0.000005739664,0.002952347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4064663,"threshold_uncertainty_score":0.9988351,"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."}}