{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001901743,0.00006870249,0.0001118408,0.002581516,0.00005739705,0.001126705,0.0004585015,0.00001677818,0.000001155029],"category_scores_gemma":[0.00004757097,0.00006361907,0.00003207334,0.001360301,0.00003631101,0.001220243,0.0002855574,0.0002076317,0.000002604891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576029,"about_ca_system_score_gemma":0.00002845855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003629282,"about_ca_topic_score_gemma":7.422929e-7,"domain_scores_codex":[0.9984775,0.00003287998,0.0004339918,0.0002025505,0.0006264094,0.0002266955],"domain_scores_gemma":[0.9995301,0.00006095371,0.00004333257,0.0001456413,0.0001593309,0.00006068661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005731884,0.0008132245,0.01260986,0.001579803,0.0001991688,0.0005914865,0.0008150427,0.203033,0.0005133342,0.7014483,0.008298514,0.0700409],"study_design_scores_gemma":[0.00115466,0.00006281673,0.009724069,0.003161427,0.000004623742,0.00002581388,0.0004424948,0.8987424,0.00006541067,0.00109762,0.0854039,0.0001147954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1310296,0.0007140866,0.8627218,0.001338978,0.003340197,0.0003073193,0.000009241804,0.00002804039,0.0005107566],"genre_scores_gemma":[0.9985085,0.0003989517,0.0005159876,0.00001700514,0.00002519596,0.00001105501,0.000004364804,0.000003104847,0.0005158359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8674789,"threshold_uncertainty_score":0.9999102,"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."}}