{"id":"W2153581430","doi":"10.1007/978-3-540-70872-8_1","title":"Data Mining Spontaneous Facial Behavior with Automatic Expression Coding","year":2008,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Facial Action Coding System; Facial expression; Computer science; Toolbox; Artificial intelligence; Coding (social sciences); Computer vision; Machine learning; Speech recognition","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":[],"consensus_categories":[],"category_scores_codex":[0.0002839946,0.0001714661,0.0001799242,0.000206657,0.0003338199,0.0000610311,0.001129308,0.0001134097,0.0001085916],"category_scores_gemma":[0.00005805795,0.0001319332,0.0000172602,0.0008276274,0.0004065308,0.000241105,0.0003147485,0.000301092,0.00003396356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000048728,"about_ca_system_score_gemma":0.00008759928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004082593,"about_ca_topic_score_gemma":0.00006466882,"domain_scores_codex":[0.9981783,0.00006308266,0.0002188817,0.0007170358,0.0003704695,0.0004522106],"domain_scores_gemma":[0.9986082,0.0002919845,0.00008304164,0.0008909547,0.00003514677,0.00009070637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003576755,0.0001639113,0.04431156,0.000002865045,0.000008815036,0.004444406,0.009379934,0.003309722,0.001151225,0.000009999014,0.00008924666,0.9370925],"study_design_scores_gemma":[0.008503427,0.002323905,0.3112461,0.003646065,0.0001863423,0.02750873,0.0001274915,0.623776,0.01831142,0.0001769681,0.0002883694,0.003905177],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5696609,0.00005032412,0.4292782,0.00004811781,0.0006918405,0.0001284926,0.000004063021,0.00007686399,0.00006118111],"genre_scores_gemma":[0.8767677,0.00000152498,0.122837,0.0002292178,0.0001322742,0.00001019095,0.000009029385,0.00001155649,0.000001495912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9331874,"threshold_uncertainty_score":0.5380081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476686690096171,"score_gpt":0.3111806893332699,"score_spread":0.2635120203236528,"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."}}