{"id":"W2890069642","doi":"","title":"Reporting on Police Interrogations : Selection effects and bias related to the use of text, video and audiotape","year":2018,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Criminal justice; Criminal investigation; Selection (genetic algorithm); Psychology; Criminology; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07919516,0.0004385691,0.0005019272,0.00309899,0.001401293,0.002241975,0.0009960999,0.0007874513,0.002743962],"category_scores_gemma":[0.3297074,0.0004697611,0.0006651896,0.002403782,0.00304942,0.001968233,0.003123638,0.0008294711,0.0008099989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008201853,"about_ca_system_score_gemma":0.0006332422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532236,"about_ca_topic_score_gemma":0.003049911,"domain_scores_codex":[0.8907585,0.07802881,0.01004624,0.004814143,0.01506296,0.00128927],"domain_scores_gemma":[0.5433342,0.3331888,0.06943501,0.02972903,0.02315763,0.001155316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001990564,0.0003576796,0.7265532,0.001487343,0.0006730253,0.0007798334,0.05884425,0.0003390241,0.005151328,0.002689808,0.00409166,0.1970424],"study_design_scores_gemma":[0.00009520612,0.001041077,0.948869,0.001197585,0.0004440433,0.0026738,0.02302829,0.001623064,0.008097345,0.003543166,0.009205641,0.0001817461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611733,0.003900336,0.01719038,0.001583784,0.0002483558,0.0008658197,0.0005776198,0.0001003291,0.01435998],"genre_scores_gemma":[0.98941,0.001434947,0.005355322,0.0009235793,0.0002973634,0.0004978694,0.000410914,0.00009115304,0.001578958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07919516,"threshold_uncertainty_score":0.4188291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08312331022998716,"score_gpt":0.3524639972375472,"score_spread":0.2693406870075601,"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."}}