{"id":"W4385780458","doi":"10.1002/acp.4124","title":"Lineup size influences voice identification accuracy","year":2023,"lang":"en","type":"article","venue":"Applied Cognitive Psychology","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University; Simon Fraser University","funders":"Thompson Rivers University","keywords":"Suspect; Psychology; Identification (biology); Audiology; Developmental psychology","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":[0.001412351,0.0003609135,0.000258972,0.0004056111,0.0001729993,0.000831312,0.0002975403,0.00051651,0.005734407],"category_scores_gemma":[0.02881417,0.0002375757,0.000171349,0.0001480423,0.0002257484,0.0008538211,0.0005688702,0.0003111392,0.0006999802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122792,"about_ca_system_score_gemma":0.00007831532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004926818,"about_ca_topic_score_gemma":0.0006793836,"domain_scores_codex":[0.9986148,0.0005769554,0.0001291425,0.0002344667,0.0003664567,0.00007819394],"domain_scores_gemma":[0.9620782,0.02923961,0.004506212,0.001693713,0.001925249,0.0005569236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008638433,0.000555234,0.4995225,0.0004054612,0.0002691267,0.001318162,0.002685852,0.001237859,0.3802217,0.0002246877,0.0008539218,0.104067],"study_design_scores_gemma":[0.0000376306,0.001294501,0.9716539,0.00004993638,0.00009696506,0.0009967108,0.0007397096,0.002284925,0.02202713,0.0002574151,0.00052751,0.00003359611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975794,0.0001310682,0.0007364627,0.00003051254,0.000016202,0.00001529076,0.00004717653,0.00003014884,0.001413685],"genre_scores_gemma":[0.9989047,0.00004339165,0.0005910786,0.00002926301,0.000009812927,0.00001017427,0.00004099605,0.00002364763,0.000346939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005734407,"threshold_uncertainty_score":0.01918352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09327054195647007,"score_gpt":0.4025162665837118,"score_spread":0.3092457246272417,"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."}}