{"id":"W2752063727","doi":"10.1167/17.10.1289","title":"Adaptation and stress independently influence the emotional categorization of facial expressions","year":2017,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychology; Categorization; Facial expression; Stimulus (psychology); Perception; Cognitive psychology; Emotional expression; Analysis of variance; Developmental psychology; Communication; Neuroscience; Artificial intelligence; Computer science","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":[0.0001188324,0.0002626206,0.0002078869,0.00008529313,0.0001103386,0.0002444478,0.0000591661,0.00012947,0.001842541],"category_scores_gemma":[0.0005296468,0.0001281045,0.0001195972,0.00005828348,0.0002669583,0.00008172231,0.0002538757,0.0002350746,0.0001563139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008904229,"about_ca_system_score_gemma":0.00008192503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004061232,"about_ca_topic_score_gemma":0.0006468315,"domain_scores_codex":[0.9998956,0.00002201537,0.000008428185,0.00002891912,0.00002242344,0.0000226577],"domain_scores_gemma":[0.9997208,0.00007302417,0.00007548842,0.00002953396,0.00002040705,0.00008086022],"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":[0.00835509,0.0005137013,0.05774172,0.00008596608,0.00007511865,0.0001544747,0.0003662191,0.00006329137,0.917546,0.00003383171,0.0001125266,0.01495207],"study_design_scores_gemma":[0.00003190552,0.00224927,0.9758223,0.000005262928,0.00002419922,0.0001512252,0.0001817226,0.0001750779,0.02113781,0.00003925042,0.0001751495,0.000006797212],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996949,0.00003868513,0.0000833543,0.000004833293,0.000004442598,0.000006391115,0.00002604206,0.000001594632,0.0001398176],"genre_scores_gemma":[0.9995821,0.0000438497,0.00009049058,0.00001172223,0.000004953291,0.00001345502,0.00005678048,0.00000164942,0.0001948934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001842541,"threshold_uncertainty_score":0.006163895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05345968291221175,"score_gpt":0.4044092575368059,"score_spread":0.3509495746245941,"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."}}