{"id":"W4411667577","doi":"10.61173/vgjwgx23","title":"Research on the Social Attributes and Influences of Film and Television Works","year":2025,"lang":"en","type":"article","venue":"Interdisciplinary Humanities and Communication Studies","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"","keywords":"Psychology; Computer science; Advertising; Business","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":[0.001312043,0.0003213992,0.0002308049,0.002510403,0.002458524,0.004581278,0.0003561392,0.0004408691,0.007553597],"category_scores_gemma":[0.007427617,0.000198714,0.0002343462,0.0022786,0.003047852,0.001876383,0.001585187,0.0006468127,0.0004162175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101032,"about_ca_system_score_gemma":0.0004764805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00398332,"about_ca_topic_score_gemma":0.007209809,"domain_scores_codex":[0.998118,0.001176,0.00005969067,0.0001482015,0.0003424236,0.0001556507],"domain_scores_gemma":[0.9906921,0.006181606,0.001671812,0.000328593,0.0005123602,0.0006135553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002881892,0.0005123832,0.4915337,0.001005934,0.0003994555,0.001449545,0.265354,0.0003204001,0.004573708,0.04851714,0.004345076,0.1817006],"study_design_scores_gemma":[0.00001184593,0.0001930516,0.6524618,0.0004008852,0.0001820294,0.0007096796,0.2668724,0.0002149262,0.001112631,0.003969748,0.07382682,0.00004416996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8416885,0.002969669,0.0007112383,0.0009433809,0.0001525243,0.00003089743,0.000143985,0.00001270957,0.1533471],"genre_scores_gemma":[0.9927446,0.002422705,0.0002247039,0.0001014024,0.0001163988,0.00001678698,0.00005402298,0.00001257529,0.004306821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007553597,"threshold_uncertainty_score":0.02526933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2047897676014504,"score_gpt":0.4844712010971491,"score_spread":0.2796814334956987,"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."}}