{"id":"W1992384572","doi":"10.1111/j.1469-8986.2007.00566.x","title":"Determining eyewitness identification accuracy using event‐related brain potentials (ERPs)","year":2007,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal; Saint Mary's University; Dalhousie University; St. Mary's University; National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"Dalhousie University","keywords":"Psychology; Culprit; Event-related potential; Eyewitness identification; Electroencephalography; Audiology; Task (project management); Cognitive psychology; Neuroscience; Psychiatry","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":[0.0008614082,0.0003308443,0.000250022,0.0004188508,0.0001392052,0.0004896466,0.0002335474,0.0004213449,0.001240375],"category_scores_gemma":[0.01020944,0.0001179989,0.0001127295,0.0001539819,0.0001446709,0.0007662647,0.00026661,0.0004215219,0.0004254135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001430222,"about_ca_system_score_gemma":0.0001289727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001139384,"about_ca_topic_score_gemma":0.002083729,"domain_scores_codex":[0.9993916,0.0001240576,0.00007951962,0.0001262583,0.0002259463,0.00005263791],"domain_scores_gemma":[0.9944485,0.002441425,0.00168828,0.0004244693,0.0008496559,0.0001476958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002420459,0.0007423165,0.486685,0.0001850383,0.0001448385,0.0004801825,0.0009912218,0.0005604742,0.4261835,0.0001890315,0.0001903009,0.08122759],"study_design_scores_gemma":[0.0000187083,0.001067121,0.9130633,0.00001613721,0.00004375225,0.0009177376,0.0003869618,0.003158474,0.0808249,0.0001448332,0.0003338585,0.00002423482],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977322,0.00004317611,0.001761824,0.00001172783,0.000006258261,0.00001079378,0.00004527092,0.00002353364,0.0003652498],"genre_scores_gemma":[0.9981748,0.000058138,0.001298891,0.00001495673,0.000004302323,0.000006410003,0.00009019803,0.000006649203,0.0003457034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001240375,"threshold_uncertainty_score":0.004555583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05344326334156403,"score_gpt":0.3799705385257756,"score_spread":0.3265272751842115,"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."}}