{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006813391,0.0001476102,0.0002064401,0.0001505414,0.0003112559,0.00006190762,0.0001996969,0.00007830782,0.00003560017],"category_scores_gemma":[0.0001131189,0.0001109744,0.00002009679,0.0003554557,0.0002031044,0.000141777,0.0002435686,0.000213426,0.00002327723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007433513,"about_ca_system_score_gemma":0.000005582667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157146,"about_ca_topic_score_gemma":0.005317288,"domain_scores_codex":[0.9983508,0.0003208907,0.0005074949,0.0005032991,0.00008999703,0.0002275301],"domain_scores_gemma":[0.9982357,0.0005812877,0.0004372753,0.0006019419,0.00003907714,0.0001046905],"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":[0.00140431,0.0002620321,0.2186767,0.0002542179,0.0007521876,0.0000142258,0.1205573,0.0002725671,0.008267243,0.001779066,0.03222241,0.6155378],"study_design_scores_gemma":[0.0006130105,0.0006773944,0.9242393,0.000321501,0.00008572058,0.0003492668,0.00149849,0.0275651,0.00006043596,0.0002152261,0.04415882,0.0002157712],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953864,0.00005412748,0.001163232,0.0004351926,0.0006643266,0.0002370891,0.00003043718,0.00007372237,0.001955454],"genre_scores_gemma":[0.9975725,0.00004341565,0.0005002053,0.001083366,0.0001913319,0.00001282041,0.00005825254,0.00001856391,0.0005195647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7055626,"threshold_uncertainty_score":0.4525403,"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."}}