{"id":"W4247944813","doi":"10.31234/osf.io/59uaq","title":"“Only your first yes will count”: The impact of pre-lineup instructions on sequential lineup decisions","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Queen Margaret University","keywords":"Suspect; Psychology; Social psychology; Eyewitness identification; Control (management); Cognitive psychology; Computer science; Artificial intelligence; Data mining","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002999331,0.000546412,0.0007043647,0.0003948546,0.0002547977,0.00007893725,0.0008706752,0.0008354011,0.01825274],"category_scores_gemma":[0.0002945746,0.0003670398,0.0009852377,0.0004767916,0.0004951343,0.00007024641,0.0004193376,0.001717275,0.00111627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001429822,"about_ca_system_score_gemma":0.0002602676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210537,"about_ca_topic_score_gemma":0.0005502939,"domain_scores_codex":[0.9968151,0.0002912591,0.001033246,0.001002754,0.0004228954,0.0004347405],"domain_scores_gemma":[0.9967973,0.0003859429,0.000621581,0.001658285,0.0002927145,0.0002441712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003721335,0.001683266,0.004286006,0.00004801896,0.003475889,0.00006331009,0.007626174,0.01008321,0.0003696817,0.03383817,0.8812761,0.05352883],"study_design_scores_gemma":[0.007523947,0.004683615,0.5755582,0.0004208854,0.0007802523,0.001796221,0.00320424,0.003794733,0.0001903488,0.04542847,0.3541591,0.002459934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7711645,0.000180449,0.02213611,0.01000634,0.03014491,0.001928267,0.001723702,0.0006929392,0.1620228],"genre_scores_gemma":[0.988,0.000177874,0.0004234951,0.001003412,0.001406223,0.0001181186,0.0001587273,0.00007773565,0.008634466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5712723,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09063060905343534,"score_gpt":0.4091023086370038,"score_spread":0.3184716995835684,"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."}}