{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00114827,0.0003245878,0.0006162789,0.0005116917,0.0001457886,0.00007657126,0.0002712068,0.0004738271,0.0002344267],"category_scores_gemma":[0.0001916208,0.0003194074,0.0001017045,0.0001803044,0.0003599619,0.0004010186,0.00008938692,0.001164533,0.000004401504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002452209,"about_ca_system_score_gemma":0.0001873477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001875454,"about_ca_topic_score_gemma":0.0005975819,"domain_scores_codex":[0.9973904,0.0005063109,0.0009877925,0.000437827,0.0003982006,0.000279407],"domain_scores_gemma":[0.9969701,0.001219127,0.0008286628,0.0003062527,0.0003686582,0.0003072159],"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":[0.003949746,0.0004393767,0.01139056,0.0001566471,0.0001093577,0.00009270776,0.001560771,0.000001400602,0.0002315289,0.00002508689,0.964,0.01804275],"study_design_scores_gemma":[0.01485953,0.006216507,0.1582302,0.0007168412,0.00275819,0.0003871903,0.005337914,0.0001059401,0.00001136501,0.0001116258,0.8104376,0.0008271164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5059395,0.009000816,0.000260324,0.01785386,0.4640151,0.001619346,0.001103082,0.00007207605,0.0001358411],"genre_scores_gemma":[0.5835754,0.0150781,0.01440873,0.03669008,0.3430805,0.001137539,0.002932005,0.0005134052,0.002584214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1535625,"threshold_uncertainty_score":0.9999258,"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."}}