{"id":"W4406635079","doi":"10.1111/cogs.70034","title":"Sad Art Gives Voice to Our Own Sadness","year":2025,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sadness; Appropriation; Psychology; Social psychology; Expression (computer science); Cognitive psychology; Linguistics; Philosophy; Computer science; Anger","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":[0.0009552772,0.0003132597,0.0002436794,0.000362476,0.0004177612,0.001024723,0.0001262304,0.0005236731,0.00453095],"category_scores_gemma":[0.006675533,0.0001771904,0.0003629835,0.0001191454,0.0006819509,0.0004223979,0.0006978086,0.000755067,0.000356423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001972924,"about_ca_system_score_gemma":0.00006854316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003418291,"about_ca_topic_score_gemma":0.0006395153,"domain_scores_codex":[0.9992744,0.0002922783,0.00003880928,0.00008448344,0.0002595019,0.0000505457],"domain_scores_gemma":[0.9955907,0.001996488,0.001344172,0.0003479379,0.000430307,0.0002904046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004543038,0.0008379599,0.4281541,0.001598139,0.001410696,0.001752506,0.04402399,0.0005744349,0.3899066,0.003146931,0.006531671,0.1175198],"study_design_scores_gemma":[0.00007715579,0.001089521,0.9647228,0.00008995497,0.000239616,0.002279799,0.01272218,0.0009391455,0.01153273,0.001402956,0.004835941,0.00006821838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896477,0.0002558687,0.001238759,0.0002863656,0.00006610921,0.00001660438,0.00002998979,0.00003369914,0.008424995],"genre_scores_gemma":[0.9976782,0.0001201141,0.0007632065,0.0003104566,0.00003269833,0.00001450132,0.00003191405,0.00001531741,0.001033615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00453095,"threshold_uncertainty_score":0.01515752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03692111204940315,"score_gpt":0.3682561387397364,"score_spread":0.3313350266903332,"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."}}