{"id":"W3025986254","doi":"","title":"ETHICALITY AND THE EXPERT WITNESS: REMEMBERING WHAT HANGS IN THE BALANCE.","year":2015,"lang":"en","type":"article","venue":"PubMed","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expert witness; Windsor; Witness; Law; Honesty; Order (exchange); Engineering ethics; Political science; Epistemology; Psychology; Sociology; Computer science; Philosophy; Engineering; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04231027,0.00100107,0.001463435,0.001213198,0.01652018,0.01948844,0.005779443,0.04234248,0.00303621],"category_scores_gemma":[0.1417992,0.0008001811,0.001012848,0.001172563,0.03890802,0.03516338,0.009977195,0.04260408,0.002108983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006059713,"about_ca_system_score_gemma":0.01535365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007285472,"about_ca_topic_score_gemma":0.01622128,"domain_scores_codex":[0.951112,0.03367611,0.002027672,0.003117328,0.008187626,0.001879246],"domain_scores_gemma":[0.8439869,0.1255564,0.005183746,0.003748098,0.01539631,0.006128443],"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":[0.00003514137,0.00002068272,0.0002468404,0.0006704821,0.00002771197,0.001176699,0.04401684,0.00007704102,0.0002485677,0.1510021,0.7685735,0.03390447],"study_design_scores_gemma":[0.00001025515,0.00003736257,0.0002823158,0.002513246,0.0000144949,0.001029296,0.04254457,0.0001504898,0.0002353821,0.0722994,0.8808139,0.00006935035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.000477747,0.02843197,0.00100471,0.9192368,0.04695606,0.00001067387,0.000006687796,0.00001737658,0.003857838],"genre_scores_gemma":[0.03481857,0.03311966,0.00270302,0.8444241,0.06609097,0.00009726344,0.00001795247,0.0001119074,0.01861648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04234248,"threshold_uncertainty_score":0.2237608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1930514216056072,"score_gpt":0.4299100244424671,"score_spread":0.2368586028368599,"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."}}