{"id":"W4416338528","doi":"10.18280/isi.300914","title":"A Systematic Review of Machine Learning Methods for Movie Genre Classification and Age-Appropriateness Prediction","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Support vector machine; Feature (linguistics); Decision tree; Key (lock); Training set","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01172804,0.0003646013,0.001370941,0.0005573324,0.0006349388,0.0004385186,0.0004867986,0.0003114144,0.000007731626],"category_scores_gemma":[0.008369379,0.0003315226,0.0002728231,0.001399021,0.0003112849,0.002861164,0.0002270391,0.0003349358,0.000006463697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003358207,"about_ca_system_score_gemma":0.0003061363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003043811,"about_ca_topic_score_gemma":9.520422e-7,"domain_scores_codex":[0.9939998,0.001878588,0.003057504,0.0003501206,0.000345347,0.000368635],"domain_scores_gemma":[0.994669,0.0009007292,0.002373246,0.000549881,0.001403317,0.0001038287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001340576,0.00002226853,0.00009052797,0.7891955,0.0002100944,1.947002e-7,0.004855809,0.0001064725,0.0001083074,0.1232686,0.00001566152,0.08199249],"study_design_scores_gemma":[0.001528228,0.0001093614,0.0003534485,0.1852955,0.0006271022,0.0000174915,0.0005203086,0.8025602,0.0005999613,0.007850076,0.0002858903,0.0002524111],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002341206,0.06057456,0.9324696,0.0002816928,0.0007847795,0.004377741,0.00005154933,0.0001509194,0.001075019],"genre_scores_gemma":[0.6642849,0.05651089,0.2721566,0.001472358,0.0001051125,0.003126328,0.001294242,0.00004850582,0.001001033],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8024537,"threshold_uncertainty_score":0.9999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03663483555995944,"score_gpt":0.3263685053034801,"score_spread":0.2897336697435207,"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."}}