{"id":"W4280556445","doi":"10.1038/s41598-022-12184-7","title":"Correlated expression of the body, face, and voice during character portrayal in actors","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Multisensory perception and integration","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Government of Ontario","keywords":"Cooperativeness; Loudness; Assertiveness; Character (mathematics); Facial expression; Psychology; Torso; Expression (computer science); Computer science; Social psychology; Cognitive psychology; Communication; Personality; Computer vision; Mathematics; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002858409,0.0001243888,0.0001386672,0.0003486355,0.0002523046,0.0005728432,0.0001139637,0.0002581671,0.001773794],"category_scores_gemma":[0.00265954,0.0001178502,0.0001082352,0.000145535,0.0004941461,0.0003390409,0.0006301713,0.0002793116,0.0002220701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766885,"about_ca_system_score_gemma":0.00008348966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006737084,"about_ca_topic_score_gemma":0.001205232,"domain_scores_codex":[0.99971,0.0001084718,0.000007383439,0.0000584016,0.00007026824,0.00004534514],"domain_scores_gemma":[0.9995319,0.0002122227,0.0001133981,0.0000311073,0.00006355094,0.00004794049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009390201,0.00004939784,0.06076279,0.0001515666,0.00004905771,0.000466575,0.01377059,0.0008079734,0.8797373,0.0008240554,0.0004289572,0.04201267],"study_design_scores_gemma":[0.000008099527,0.0002948977,0.9542136,0.0000465543,0.00003980197,0.0007126945,0.006991369,0.003570847,0.03232896,0.0005091155,0.001240354,0.00004370632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961005,0.00005290002,0.00197363,0.00002183737,0.000005876972,0.000008385618,0.00003262664,0.00001182262,0.001792322],"genre_scores_gemma":[0.9983279,0.00004625362,0.0009339511,0.00001616816,0.000006560403,0.00001132401,0.00003656203,0.00001110368,0.0006101692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001773794,"threshold_uncertainty_score":0.00593394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996691555059844,"score_gpt":0.2868925985904227,"score_spread":0.2669256830398243,"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."}}