{"id":"W2592069066","doi":"10.3758/s13428-018-1061-4","title":"Miami University deception detection database","year":2018,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deception; Psychology; Lie detection; Social psychology; Statement (logic); Computer science; Applied psychology; Linguistics","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":[0.000846763,0.0009339294,0.0007542371,0.003920492,0.0005587267,0.0009640543,0.001668029,0.001182885,0.02386346],"category_scores_gemma":[0.007441488,0.0002178799,0.0003207285,0.002170219,0.0001694146,0.001231667,0.001355809,0.000880087,0.01540831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007214455,"about_ca_system_score_gemma":0.0008513076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006937232,"about_ca_topic_score_gemma":0.0101727,"domain_scores_codex":[0.9994279,0.00008089723,0.0001316141,0.00009982388,0.0001919217,0.00006786241],"domain_scores_gemma":[0.9976084,0.0005212644,0.0003458826,0.0005556221,0.0007347442,0.0002341065],"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":[0.0007761935,0.0003288747,0.009540844,0.002917042,0.00006838359,0.0008917954,0.0003356806,0.0009090467,0.002609204,0.002049195,0.8417916,0.1377821],"study_design_scores_gemma":[0.0003022048,0.0002868201,0.05064496,0.001060097,0.0001210486,0.001909119,0.0006549255,0.01118512,0.006023195,0.003669788,0.9239875,0.0001552425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03356159,0.004794057,0.007921842,0.0007871795,0.0002838766,0.001652504,0.9277194,0.004550327,0.01872928],"genre_scores_gemma":[0.04409667,0.001607282,0.01080948,0.0003436127,0.0001030931,0.001972614,0.935697,0.000179066,0.005191125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02386346,"threshold_uncertainty_score":0.07983124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3876640780767517,"score_gpt":0.6254059579783624,"score_spread":0.2377418799016107,"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."}}