{"id":"W4406203387","doi":"10.61091/jcmcc123-02","title":"Mascot Explosive Works and Branding Operation Based on the Popularity of Sports Events-On the Integration and Reform of China’s Animation Industry","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animation; China; Popularity; Mascot; Modernization theory; Entertainment; Industrialisation; Event (particle physics); Advertising; Political science; Business; Sociology; Computer science; Computer graphics (images)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004936165,0.0003779345,0.0001938404,0.001010271,0.0009865194,0.001474828,0.0002990547,0.0003564096,0.004169589],"category_scores_gemma":[0.001082593,0.000180069,0.0003060184,0.0007381833,0.0008550517,0.0007324873,0.0007315445,0.0002587112,0.0003592756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007555489,"about_ca_system_score_gemma":0.0004336747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00178439,"about_ca_topic_score_gemma":0.00430668,"domain_scores_codex":[0.99972,0.00008389488,0.000009038053,0.00005911789,0.00008031006,0.00004754022],"domain_scores_gemma":[0.9995549,0.0001306459,0.00006311374,0.00006675141,0.0001004348,0.00008403379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001157908,0.0004668718,0.1245934,0.0003450536,0.0001517556,0.001167845,0.003378465,0.1348122,0.1256929,0.2451759,0.003691908,0.3593658],"study_design_scores_gemma":[0.00009860586,0.001000616,0.1231311,0.0001138811,0.0002930117,0.000964733,0.004969991,0.7038595,0.07491194,0.053168,0.03736414,0.0001245303],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9092386,0.000155028,0.04847721,0.0001753957,0.0000442917,0.0000673455,0.00004590611,0.0001195128,0.04167667],"genre_scores_gemma":[0.9866468,0.00007627589,0.009217016,0.00002340699,0.000006244361,0.0000182654,0.00002828195,0.00002228904,0.00396147],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004169589,"threshold_uncertainty_score":0.01394862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256003719117559,"score_gpt":0.2789865414411276,"score_spread":0.2533861695293717,"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."}}