{"id":"W2223342493","doi":"10.1002/acp.3200","title":"Safety in Numbers: A Policy‐Capturing Study of the Alibi Assessment Process","year":2016,"lang":"en","type":"article","venue":"Applied Cognitive Psychology","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Alibi; Suspect; Psychology; Social psychology; Law enforcement; Criminology; Political science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005334537,0.0002737529,0.000439504,0.0004012959,0.00008697927,0.000007175859,0.0004358981,0.0002521544,0.001984759],"category_scores_gemma":[0.00006471668,0.0001770524,0.00009722957,0.0009133416,0.0004865277,0.00005130172,0.00009322247,0.0003824712,0.0003449132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007716275,"about_ca_system_score_gemma":0.00005358435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001002779,"about_ca_topic_score_gemma":0.0003222417,"domain_scores_codex":[0.997185,0.0004658726,0.0007261878,0.0008313045,0.0002559821,0.0005356537],"domain_scores_gemma":[0.9984709,0.0003008782,0.0003651911,0.0006540412,0.0001231373,0.00008583187],"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":[0.005899332,0.01093783,0.3735128,0.00002680497,0.001017318,0.00006401471,0.03108453,0.00000427716,0.007641804,0.05810282,0.002806344,0.5089021],"study_design_scores_gemma":[0.0140467,0.0005214733,0.9639246,0.00004765075,0.00004126936,0.00007688977,0.01125803,4.278587e-7,0.0002023507,0.007780063,0.001816823,0.0002837541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6892703,0.000009595165,0.001505423,0.001180464,0.001025814,0.001017422,0.00001834329,0.00005854711,0.3059141],"genre_scores_gemma":[0.9958453,0.000007572194,0.00001923866,0.002481658,0.000159278,0.0005397277,0.000002154069,0.00003941696,0.0009056616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5904117,"threshold_uncertainty_score":0.9989275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766313912295344,"score_gpt":0.4045718641569405,"score_spread":0.376908725033987,"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."}}