{"id":"W1861935076","doi":"10.1002/tht3.163","title":"Sensitivity, Causality, and Statistical Evidence in Courts of Law","year":2015,"lang":"en","type":"article","venue":"Thought A Journal of Philosophy","topic":"Jury Decision Making Processes","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Université de Montréal; University of Glasgow; European Commission","keywords":"Causation; Impossibility; Sensitivity (control systems); Causality (physics); Rest (music); Counterexample; Statistical evidence; Epistemology; Modal; Econometrics; Positive economics; Economics; Mathematical economics; Law; Philosophy; Political science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05288052,0.0005546047,0.001973874,0.004767232,0.004791962,0.01380385,0.002933412,0.008928979,0.004578888],"category_scores_gemma":[0.1502392,0.001268577,0.000978951,0.003182573,0.04730869,0.02258836,0.007847033,0.01001661,0.0002862446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008775732,"about_ca_system_score_gemma":0.008978561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004583405,"about_ca_topic_score_gemma":0.002678801,"domain_scores_codex":[0.9508871,0.02941879,0.002544477,0.004652306,0.01053071,0.001966582],"domain_scores_gemma":[0.8394582,0.1413255,0.006701046,0.005657716,0.00503727,0.001820133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008957438,0.000007773619,0.0002549361,0.00003015781,0.00001286791,0.00004517847,0.000399714,0.0005846545,0.00002893631,0.9960725,0.0002678445,0.002286642],"study_design_scores_gemma":[0.000008862918,0.000003545193,0.0001100981,0.00001924554,0.000004398309,0.0000115342,0.00007486883,0.0006962246,0.0000326636,0.9982536,0.0007770133,0.000007843691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1777608,0.02147011,0.3926109,0.1822002,0.001507658,0.0002881619,0.0003158168,0.0002882026,0.2235582],"genre_scores_gemma":[0.9781885,0.001588449,0.01498857,0.002989738,0.0004843291,0.00008556535,0.00002099222,0.00002411319,0.001629731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05288052,"threshold_uncertainty_score":0.2796623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2065072938505597,"score_gpt":0.4250768947946362,"score_spread":0.2185696009440765,"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."}}