{"id":"W2335772834","doi":"10.1016/j.ijlp.2016.02.041","title":"Educating jurors about eyewitness testimony in criminal cases with circumstantial and forensic evidence","year":2016,"lang":"en","type":"article","venue":"International Journal of Law and Psychiatry","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Circumstantial evidence; Eyewitness identification; Psychology; Eyewitness testimony; Forensic science; Interview; Criminology; Criminal investigation; Social psychology; Law; Medicine; Political science; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002111944,0.00009463773,0.000124057,0.00009724317,0.00007605462,0.00009571808,0.0002096703,0.0000255933,0.00003030353],"category_scores_gemma":[0.0003777851,0.00005510388,0.0000225608,0.0000623628,0.0002374334,0.0007373808,0.00002765023,0.0001233523,0.000001032956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001433916,"about_ca_system_score_gemma":0.0001662881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005333504,"about_ca_topic_score_gemma":0.0001332984,"domain_scores_codex":[0.9990477,0.00004337468,0.0002997546,0.000171639,0.000317135,0.0001203923],"domain_scores_gemma":[0.9989759,0.0004870362,0.0002641486,0.00005592532,0.0001410205,0.00007592013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002895885,0.0004685239,0.6113732,0.0003057976,0.00007836462,0.001077449,0.002649347,0.00005103905,0.096245,0.1939341,0.0005638833,0.09035736],"study_design_scores_gemma":[0.01123103,0.006289507,0.656384,0.03182524,0.0003173667,0.07625053,0.003366158,0.0002269932,0.1204865,0.08496942,0.006598449,0.002054854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947103,0.0008659253,0.0001844051,0.002471801,0.0009799502,0.00003671226,0.000006189537,0.00000413823,0.0007405906],"genre_scores_gemma":[0.9972565,0.0003367364,0.0007696188,0.001273498,0.0003271781,0.000001207331,6.838136e-8,0.000006255006,0.00002894406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1089647,"threshold_uncertainty_score":0.2247071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05297179424539958,"score_gpt":0.3417662709292758,"score_spread":0.2887944766838763,"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."}}