{"id":"W2625748663","doi":"10.1109/mmul.2017.265091158","title":"Visual Nonverbal Behavior Analysis: The Path Forward","year":2017,"lang":"en","type":"article","venue":"IEEE Multimedia","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Nonverbal communication; Human–computer interaction; Context (archaeology); Coaching; Artificial intelligence; Psychology; Communication","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002367584,0.0001253607,0.0001726045,0.00008603667,0.0003733761,0.0000863657,0.0003285451,0.000131427,0.002556048],"category_scores_gemma":[0.00003733082,0.00008725446,0.0002252714,0.00008497641,0.0001550481,0.00009190983,0.00002188736,0.0001870365,0.002434291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001275593,"about_ca_system_score_gemma":0.00001306977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003069117,"about_ca_topic_score_gemma":0.0003141632,"domain_scores_codex":[0.9990343,0.00008666606,0.0001859119,0.000260987,0.0001824199,0.000249699],"domain_scores_gemma":[0.9989953,0.00006467499,0.0001727444,0.0005980865,0.00006836641,0.0001008479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002037376,0.001891082,0.1911016,0.000013036,0.002676863,0.0002457286,0.0140918,0.000006934275,0.003166062,0.0002813796,0.04482825,0.7414935],"study_design_scores_gemma":[0.001551512,0.0001006069,0.9872632,0.000008217091,0.001747065,0.00001177094,0.0006239405,0.002307042,0.0009123339,0.0000551239,0.005176731,0.0002424531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970034,0.00006514253,0.001686026,0.0005264492,0.005474126,0.0004147968,0.00005728009,0.0001038173,0.02163834],"genre_scores_gemma":[0.9942648,0.00001082647,0.000194761,0.0002747694,0.0005631302,0.0001239609,0.0000419994,0.00001539202,0.004510371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7961615,"threshold_uncertainty_score":0.9983557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04004734885447796,"score_gpt":0.3707908019084533,"score_spread":0.3307434530539753,"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."}}