{"id":"W4409603750","doi":"10.61091/jcmcc127b-243","title":"Deep Learning-Based Analysis of Emotional Posture in Chinese Literary Works","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Artificial intelligence; Cognitive psychology; History; Literature; Computer science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001442989,0.0002330646,0.001002366,0.001263552,0.0001115065,0.00009620431,0.0002919788,0.0002502688,0.000144636],"category_scores_gemma":[0.0004314472,0.0002054391,0.0003584688,0.001952564,0.00007779778,0.00009723732,0.00008691561,0.0007034279,0.000001651354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007765045,"about_ca_system_score_gemma":0.0001079066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001137928,"about_ca_topic_score_gemma":0.000002468708,"domain_scores_codex":[0.997523,0.0003110234,0.0013027,0.0002075472,0.0004175139,0.0002382598],"domain_scores_gemma":[0.9970849,0.001264309,0.0008918558,0.0002082612,0.0004527826,0.0000979593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001970693,0.005644732,0.1197446,0.0004196241,0.002898897,0.000113635,0.01362193,0.01069574,0.0004797475,0.8300248,0.0003706251,0.01401494],"study_design_scores_gemma":[0.0185497,0.001639855,0.3273537,0.001395284,0.001370282,0.00003185124,0.001740804,0.1665467,0.00002969998,0.4803517,0.0003787795,0.0006116797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742929,0.0007855674,0.01446795,0.0001366105,0.008270184,0.0001742064,0.000001194667,0.00002043101,0.001850959],"genre_scores_gemma":[0.9986851,0.00001242022,0.0008961391,0.00005450031,0.0003061428,0.000001767616,0.000004925358,0.0000144274,0.0000246067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3496732,"threshold_uncertainty_score":0.8377563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011170514605976,"score_gpt":0.2994426104697225,"score_spread":0.2893309053236628,"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."}}