{"id":"W2898982370","doi":"10.1037/lhb0000309","title":"Four utilities in eyewitness identification practice: Dissociations between receiver operating characteristic (ROC) analysis and expected utility analysis.","year":2018,"lang":"en","type":"article","venue":"Law and Human Behavior","topic":"Radiology practices and education","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Laura and John Arnold Foundation","keywords":"Eyewitness identification; Suspect; Identification (biology); Receiver operating characteristic; Psychology; Legal psychology; PsycINFO; Social psychology; Cognitive psychology; Computer science; Data mining; Machine learning; Relation (database); MEDLINE; Criminology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005708282,0.0001211509,0.0004029933,0.0002815901,0.000479433,0.0001220803,0.00004762037,0.0001147029,0.0002207144],"category_scores_gemma":[0.0002124711,0.0001161373,0.00006739314,0.0006115199,0.0002476009,0.0004574896,0.00002391911,0.0001755677,0.00000385078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000601786,"about_ca_system_score_gemma":0.00002712107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002244222,"about_ca_topic_score_gemma":0.002914471,"domain_scores_codex":[0.9987333,0.0001820565,0.0004130079,0.0003643817,0.0001332031,0.00017402],"domain_scores_gemma":[0.9989734,0.0001820807,0.0002524805,0.0002688171,0.0002318741,0.00009136234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000189606,0.0001525346,0.9938088,0.00001367042,0.0004863971,0.000003700088,0.002990838,9.046646e-8,0.001042017,0.0008190915,0.000008815216,0.0006550803],"study_design_scores_gemma":[0.0002865776,0.00006664597,0.9863005,0.000008894038,0.01090504,0.000005158243,0.0018447,0.00009551796,0.00008205458,0.00004663772,0.000250847,0.0001073745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984366,0.00005297187,0.0001053542,0.0004775445,0.00005401036,0.0002573893,0.00002801277,0.0000279121,0.0005602079],"genre_scores_gemma":[0.9984128,0.00002328327,0.0002036488,0.0001051086,0.0001791122,0.00006682973,0.0004648154,0.00000805906,0.0005363819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01041864,"threshold_uncertainty_score":0.4735942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0541568749403287,"score_gpt":0.3858582806878252,"score_spread":0.3317014057474965,"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."}}