{"id":"W4410465887","doi":"10.55041/ijsrem48103","title":"AI in Digital Entertainment: Exploring User-Centric Movie Prediction Systems","year":2025,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Entertainment; Computer science; Multimedia; Human–computer interaction; Computer graphics (images); Art; Visual arts","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":[0.001317904,0.0004185419,0.0004862762,0.0009816745,0.0005939663,0.002075749,0.0009545116,0.000669479,0.002076775],"category_scores_gemma":[0.002882795,0.000226516,0.0004582559,0.001052195,0.0004412062,0.002317796,0.0008340252,0.0007020433,0.0006264855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056665,"about_ca_system_score_gemma":0.0006192438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01485471,"about_ca_topic_score_gemma":0.01327829,"domain_scores_codex":[0.9994531,0.0001652329,0.00003628315,0.0001522633,0.0001390145,0.00005398641],"domain_scores_gemma":[0.9987429,0.0006563221,0.00009804477,0.0001668746,0.0002447582,0.00009120145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001082064,0.001335997,0.05529487,0.0005807195,0.0003884965,0.0007610263,0.002483207,0.2606407,0.03956785,0.05043707,0.008809989,0.5786181],"study_design_scores_gemma":[0.00001862118,0.0001360417,0.004880266,0.00002268612,0.00003402304,0.00008603525,0.0003399073,0.975071,0.005241622,0.00888277,0.005263154,0.00002375377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4184976,0.001773756,0.5505236,0.002056038,0.0001155242,0.0003547726,0.0005554589,0.004233589,0.02188969],"genre_scores_gemma":[0.8636793,0.0007084306,0.1308869,0.0001783749,0.00005848104,0.00006790891,0.0003862139,0.00004964557,0.003984818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01485471,"threshold_uncertainty_score":0.02953649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04852228849836137,"score_gpt":0.3307621325540511,"score_spread":0.2822398440556897,"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."}}