{"id":"W3047839738","doi":"10.1007/s10919-020-00339-x","title":"Justice and Nonverbal Communication in a Post-pandemic World: An Evidence-Based Commentary and Cautionary Statement for Lawyers and Judges","year":2020,"lang":"en","type":"editorial","venue":"Journal of Nonverbal Behavior","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Economic Justice; Harm; Psychology; Distancing; Statement (logic); Nonverbal communication; Pandemic; Aside; Criminology; Law; Social psychology; Public relations; Political science; Coronavirus disease 2019 (COVID-19); Medicine; Developmental psychology; Disease","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":[0.01364932,0.00273585,0.004228213,0.005512096,0.008380509,0.01170565,0.006834858,0.06122366,0.007499882],"category_scores_gemma":[0.08492057,0.001633213,0.003209969,0.003599089,0.005890575,0.006005961,0.002632042,0.04802965,0.004827034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006744894,"about_ca_system_score_gemma":0.01292307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01574332,"about_ca_topic_score_gemma":0.03701521,"domain_scores_codex":[0.9885233,0.002998358,0.002231495,0.001233302,0.004337175,0.0006764258],"domain_scores_gemma":[0.8974763,0.07385153,0.003289641,0.001624548,0.01958424,0.004173803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002368106,0.000009076557,0.00003481265,0.0003213296,0.00002357519,0.0001384171,0.00006048548,0.00001088082,0.00002170165,0.0003884262,0.9961128,0.002854942],"study_design_scores_gemma":[0.000146705,0.00004492164,0.001071922,0.005174628,0.0003087374,0.0005308758,0.0005744558,0.0002621757,0.0001352467,0.00477102,0.9869055,0.00007377748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003905763,0.006699485,0.00006682314,0.1254154,0.8667299,0.00001768037,0.00005791025,0.00001876649,0.0009550153],"genre_scores_gemma":[0.0005878154,0.005231004,0.0001292404,0.1074166,0.8839608,0.00003728269,0.00002343827,0.00002203592,0.00259185],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06122366,"threshold_uncertainty_score":0.0721854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08296556510652926,"score_gpt":0.4168807211586533,"score_spread":0.333915156052124,"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."}}