{"id":"W2324260108","doi":"10.1037/emo0000106","title":"Head movements encode emotions during speech and song.","year":2015,"lang":"en","type":"article","venue":"Emotion","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Psychology; Motion (physics); Singing; Movement (music); Head (geology); Cognitive psychology; Facial expression; Communication; Speech recognition; Computer science; Artificial intelligence","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":[0.0001442696,0.0002433688,0.000150637,0.0002464995,0.0001366453,0.0004551327,0.0001489682,0.000357399,0.001708903],"category_scores_gemma":[0.001418209,0.0001368377,0.0001695759,0.000175813,0.0002846547,0.0003387236,0.0003215785,0.0001644603,0.0003404693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611267,"about_ca_system_score_gemma":0.0001118675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009061927,"about_ca_topic_score_gemma":0.002002105,"domain_scores_codex":[0.999878,0.00002533044,0.000006514559,0.00004510797,0.00002369877,0.00002125207],"domain_scores_gemma":[0.9997317,0.00009805428,0.00007180827,0.00002332936,0.00004770218,0.00002735028],"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":[0.0006925523,0.00002705741,0.01590966,0.0002466559,0.00005252518,0.0001594886,0.0007757516,0.0005155855,0.9147331,0.0007393409,0.0007660158,0.06538229],"study_design_scores_gemma":[0.00003397151,0.0004342691,0.8963832,0.00007123698,0.0001194533,0.0006348199,0.0006535396,0.006813186,0.08954,0.001427555,0.003831999,0.00005679865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566875,0.0008674209,0.03011771,0.0001480955,0.0001430291,0.00009935667,0.001337782,0.0003154689,0.01028362],"genre_scores_gemma":[0.9871378,0.0003453617,0.01004199,0.0001057869,0.00004121273,0.00006318681,0.0006098078,0.00005178616,0.001603104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001708903,"threshold_uncertainty_score":0.005716801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018358328797722,"score_gpt":0.3260548264102251,"score_spread":0.2242189935304529,"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."}}