{"id":"W4251665223","doi":"10.31228/osf.io/6dsfb","title":"The CSI Effect","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Jury Decision Making Processes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Perception; Face (sociological concept); Political science; Psychology; Social psychology; Law; Law and economics; Sociology; Social science","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":[0.02253583,0.0006170289,0.001068244,0.002281444,0.002341315,0.002815361,0.001462543,0.003678998,0.05400114],"category_scores_gemma":[0.1179936,0.0003731905,0.001153187,0.001968316,0.007738268,0.004662998,0.004488316,0.00478693,0.002608037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003197855,"about_ca_system_score_gemma":0.003411277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003722152,"about_ca_topic_score_gemma":0.003570479,"domain_scores_codex":[0.9784687,0.009027125,0.001353761,0.00408924,0.005802893,0.00125832],"domain_scores_gemma":[0.8160163,0.1483501,0.01760495,0.008491264,0.006684469,0.002853008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001063651,0.0006067892,0.1078065,0.002047568,0.0009304779,0.0004695468,0.003351627,0.001263593,0.001143727,0.6753842,0.03235508,0.1735773],"study_design_scores_gemma":[0.0008377681,0.001772572,0.2563939,0.002048006,0.001647634,0.001288612,0.003780151,0.003087087,0.003408234,0.5637286,0.1617873,0.0002201925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.228275,0.01869895,0.04266772,0.06716806,0.002381911,0.001381562,0.004514796,0.0004704323,0.6344415],"genre_scores_gemma":[0.9576418,0.003868364,0.004777988,0.01816091,0.0009432242,0.0005860691,0.0004780342,0.000133389,0.01341029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05400114,"threshold_uncertainty_score":0.1806518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05744685969893963,"score_gpt":0.4475616143379793,"score_spread":0.3901147546390396,"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."}}