{"id":"W4406369245","doi":"10.1121/10.0035160","title":"Facial expression analysis and auditory perception","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; École de Technologie Supérieure","funders":"","keywords":"Perception; Facial expression; Psychology; Expression (computer science); Audiology; Cognitive psychology; Speech recognition; Communication; Computer science; Neuroscience; 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":[0.0006939635,0.0004904947,0.0003337662,0.0006375466,0.0001592602,0.0007837146,0.0002213227,0.0003088644,0.003169337],"category_scores_gemma":[0.003343449,0.0001229009,0.0004025817,0.0003634354,0.0002627221,0.0005538012,0.0004910853,0.0004092597,0.0008969452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003922578,"about_ca_system_score_gemma":0.0002243622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003016912,"about_ca_topic_score_gemma":0.002969796,"domain_scores_codex":[0.9993123,0.0001762062,0.00003283792,0.0001828664,0.0002195477,0.00007627725],"domain_scores_gemma":[0.9993267,0.0002271546,0.0001008157,0.00005618023,0.0002530379,0.00003611335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001053827,0.0002222808,0.07376233,0.0004024715,0.0002243812,0.0002817183,0.000628877,0.01533376,0.2741745,0.002730533,0.007463635,0.6237217],"study_design_scores_gemma":[0.00004651936,0.0004728117,0.6258415,0.0001329067,0.0001999936,0.0009358699,0.0007682033,0.2763646,0.07895406,0.006333179,0.00981868,0.0001316789],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.84522,0.002146472,0.1253837,0.0007682911,0.0002537864,0.0001974855,0.003045131,0.00085683,0.0221283],"genre_scores_gemma":[0.9751452,0.0006182008,0.019044,0.0001266554,0.0000813993,0.00006691529,0.001162261,0.00007824384,0.003677074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003169337,"threshold_uncertainty_score":0.01060247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009330465662179335,"score_gpt":0.2520311396564771,"score_spread":0.2427006739942977,"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."}}