{"id":"W2749582780","doi":"10.1002/acp.3342","title":"A Repeated Forced‐choice Line‐up Procedure Provides Suspect Bias Information with No Cost to Accuracy for Older Children and Adults","year":2017,"lang":"en","type":"article","venue":"Applied Cognitive Psychology","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University; University of Regina","funders":"American Psychology-Law Society","keywords":"Suspect; Psychology; Proxy (statistics); Identification (biology); Witness; Selection (genetic algorithm); Eyewitness identification; Task (project management); Social psychology; Developmental psychology; Artificial intelligence; Data mining; Machine learning; 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":[0.0009578254,0.0002889129,0.0004427953,0.0003061135,0.0005641966,0.0007219476,0.0006813743,0.0001942706,0.00006557637],"category_scores_gemma":[0.007931072,0.000208165,0.00006763744,0.0002064466,0.0002370083,0.0008303254,0.0001840252,0.0002047337,0.0005730679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002422704,"about_ca_system_score_gemma":0.00007830103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005019637,"about_ca_topic_score_gemma":0.0001852774,"domain_scores_codex":[0.9976478,0.00003698999,0.0006903182,0.0008846321,0.0003320813,0.0004081776],"domain_scores_gemma":[0.9955044,0.001615516,0.0008455664,0.0007486749,0.001090113,0.0001957647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003019297,0.00007984202,0.0138811,0.000007093225,0.00003565213,0.000001602136,0.0009018418,0.000003541584,0.00006502592,0.0002110529,0.005534294,0.9762596],"study_design_scores_gemma":[0.01492353,0.001955127,0.9502949,0.0003034844,0.0001385978,0.0001447083,0.001558917,0.0003324296,0.001088059,0.0114776,0.01672591,0.001056744],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801833,0.00000838108,0.008392871,0.0008580777,0.0002824771,0.003409125,0.0002118602,0.00006539005,0.006588512],"genre_scores_gemma":[0.994561,0.000008038452,0.001599829,0.002728919,0.0001436492,0.00062612,0.00009118734,0.00002461305,0.0002166084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9752029,"threshold_uncertainty_score":0.9494808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09937085279212711,"score_gpt":0.4285443863926708,"score_spread":0.3291735336005437,"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."}}