{"id":"W2012663371","doi":"10.1177/009385402237925","title":"Deception in Eyewitness Identification","year":2002,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Eyewitness identification; Deception; Psychology; Conviction; Lying; Lie detection; Social psychology; Identification (biology); Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002518179,0.0002269719,0.0002570253,0.0007940877,0.000392016,0.00123956,0.0002880679,0.000688064,0.003967562],"category_scores_gemma":[0.05647989,0.000240367,0.0002177835,0.0002796361,0.0006222771,0.001471742,0.001347879,0.001100113,0.0006117083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004716021,"about_ca_system_score_gemma":0.0002753757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00203551,"about_ca_topic_score_gemma":0.002522325,"domain_scores_codex":[0.9975732,0.001094895,0.0002339956,0.000212736,0.000603876,0.0002812916],"domain_scores_gemma":[0.9670997,0.01354567,0.01459482,0.001542451,0.001890338,0.001327079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002839857,0.0004920572,0.8863305,0.0001756788,0.00008508341,0.001259845,0.01117794,0.0004253735,0.004681394,0.0009108999,0.0008296441,0.09079161],"study_design_scores_gemma":[0.0000295452,0.0006974614,0.987842,0.0001440982,0.00003747387,0.002850451,0.00285993,0.001616058,0.001663726,0.0008251252,0.001398745,0.00003539816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966443,0.0006249339,0.0003708345,0.0001242444,0.00002170576,0.00001405603,0.00004065687,0.00000631617,0.002153061],"genre_scores_gemma":[0.9991967,0.0001742412,0.0001125956,0.00002984665,0.000006621082,0.000004286968,0.00003265843,0.000002127961,0.0004409444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003967562,"threshold_uncertainty_score":0.01331753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0837457507349697,"score_gpt":0.3676065819799794,"score_spread":0.2838608312450097,"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."}}