{"id":"W4252178027","doi":"10.1093/acprof:oso/9780190613501.003.0004","title":"Understanding Multimodal Emotional Expressions","year":2017,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia","keywords":"Modalities; Emotional expression; Set (abstract data type); Variety (cybernetics); Psychology; Expression (computer science); Focus (optics); Cognitive science; Cognitive psychology; Affective science; Emotion classification; Communication; Computer science; Sociology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001173855,0.000360475,0.0003771424,0.0002284602,0.0007727624,0.00008090737,0.0007026396,0.000698063,0.0009203959],"category_scores_gemma":[0.0000144785,0.0003946532,0.0003087623,0.000007544068,0.0002996459,0.0001268379,0.0002858182,0.0006519314,0.00001915545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004313901,"about_ca_system_score_gemma":0.0001972288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009031508,"about_ca_topic_score_gemma":0.00003078192,"domain_scores_codex":[0.9983652,0.0001358372,0.0001730379,0.0006015045,0.0003258458,0.0003985735],"domain_scores_gemma":[0.9984509,0.0001194685,0.0003586595,0.0008005397,0.00008533219,0.0001850602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000283632,0.00007676618,0.000009389641,0.0000659626,0.0005114836,0.0006430511,0.002116383,0.00000202561,0.00003081426,0.8538136,0.1396615,0.002785332],"study_design_scores_gemma":[0.00136599,0.00005002174,0.00008595733,0.0002663175,0.0003063443,0.00002203198,0.0007608372,0.00001434333,0.00001525026,0.004778294,0.9918779,0.0004567294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007173483,0.00007113906,0.006097677,0.00001755215,0.001168656,0.0003834533,0.0004935999,0.0001688642,0.9915273],"genre_scores_gemma":[0.004384323,0.00003945296,0.000168724,0.00004955361,0.0004486059,0.000002997607,0.0003359632,0.00005320909,0.9945171],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8522164,"threshold_uncertainty_score":0.9999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09770762580320735,"score_gpt":0.2817100352649327,"score_spread":0.1840024094617253,"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."}}