{"id":"W1551493322","doi":"","title":"A Review of Applied Techniques of the Detection of Criminal Deceit","year":2014,"lang":"en","type":"review","venue":"Canadian social science","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lie detection; Psychology; Reliability (semiconductor); Expression (computer science); Foundation (evidence); Empirical research; Control (management); Cognition; Validity; Cognitive psychology; Social psychology; Cognitive science; Computer science; Epistemology; Deception; Artificial intelligence; Law; Neuroscience; Developmental psychology; Power (physics); Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533986,0.0009914374,0.00147944,0.006873396,0.0005654395,0.001265391,0.00134856,0.001246632,0.005839177],"category_scores_gemma":[0.003854393,0.0004163496,0.0009199713,0.005025008,0.0009183611,0.002242215,0.0007087715,0.001393942,0.001692755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009111684,"about_ca_system_score_gemma":0.002152124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003197634,"about_ca_topic_score_gemma":0.004067746,"domain_scores_codex":[0.9992223,0.0001772046,0.0001618827,0.0001307436,0.0002760889,0.00003177782],"domain_scores_gemma":[0.9973079,0.00184365,0.0002712336,0.00006752576,0.0004449748,0.00006469695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003613925,0.00006551998,0.0004369369,0.03990425,0.0001143142,0.0001837264,0.0001938688,0.0001725617,0.0004180469,0.004072034,0.01608591,0.9383166],"study_design_scores_gemma":[0.00001354649,0.0001112134,0.004253769,0.02694857,0.0002941634,0.002696967,0.0002861928,0.0001268424,0.0006391451,0.003714545,0.9608593,0.00005576108],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001042178,0.9982421,0.0001750426,0.0002065547,0.00008527398,0.000007774104,0.00002399542,0.000004952226,0.00115018],"genre_scores_gemma":[0.0008068579,0.9984036,0.0003063742,0.0001036415,0.00009344642,0.000008470894,0.00002925335,0.000001564551,0.0002468639],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006873396,"threshold_uncertainty_score":0.01953399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05058210712031833,"score_gpt":0.3880047155282957,"score_spread":0.3374226084079774,"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."}}