{"id":"W2944369292","doi":"10.5093/apj2019a9","title":"The Analysis of Nonverbal Communication: The Dangers of Pseudoscience in Security and Justice Contexts","year":2019,"lang":"en","type":"article","venue":"Anuario de Psicología Jurídica","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Université Laval; Trinity College; McGill University; University of Toronto; Université du Québec à Trois-Rivières; Ministère de l’Emploi et de la Solidarité Sociale (Québec)","funders":"","keywords":"Pseudoscience; Nonverbal communication; Deception; Economic Justice; Lie detection; Scope (computer science); Psychology; Social psychology; Public relations; Work (physics); Engineering ethics; Sociology; Political science; Law; Computer science; Communication; Engineering; Medicine","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":[0.03572673,0.0005906654,0.0005188143,0.006939545,0.004927319,0.007654293,0.001527715,0.00232434,0.002851093],"category_scores_gemma":[0.1018722,0.0004715682,0.000400223,0.002846803,0.02700522,0.01103248,0.006115682,0.003225856,0.0003383897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002433785,"about_ca_system_score_gemma":0.003944554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126551,"about_ca_topic_score_gemma":0.002589893,"domain_scores_codex":[0.9290215,0.05842022,0.001711055,0.002101516,0.008019215,0.0007264229],"domain_scores_gemma":[0.7786304,0.1855682,0.01863699,0.01029482,0.005766848,0.001102796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002624542,0.0001584544,0.02379548,0.001697183,0.00007509733,0.001429273,0.4129675,0.0005032758,0.00616167,0.3316457,0.003633895,0.2176701],"study_design_scores_gemma":[0.00004482623,0.0005031349,0.06331675,0.004129276,0.0000693283,0.003767248,0.4106353,0.004598392,0.007086261,0.3921431,0.1134756,0.0002308011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6035186,0.02064726,0.1858528,0.05334366,0.001451293,0.000625079,0.000192526,0.0002303324,0.1341385],"genre_scores_gemma":[0.9663875,0.003673007,0.02321167,0.002706879,0.0004837626,0.0004520742,0.00003784954,0.00006242334,0.002984734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03572673,"threshold_uncertainty_score":0.1889433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009200912286670953,"score_gpt":0.3118180454269028,"score_spread":0.3026171331402319,"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."}}