{"id":"W2894073860","doi":"10.5220/0006935002290236","title":"Theatrical Genre Prediction using Social Network Metrics","year":2018,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Social network (sociolinguistics); Artificial intelligence; Natural language processing; Social media; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0002209531,0.0000639835,0.00007803608,0.00005560399,0.0004412075,0.0001423848,0.0002735668,0.00005806354,0.00003881691],"category_scores_gemma":[0.00001432913,0.00005165616,0.00003429511,0.001008117,0.00004428203,0.0002950585,0.0001488774,0.00006846865,0.00002764956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000340949,"about_ca_system_score_gemma":0.00005499572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009002253,"about_ca_topic_score_gemma":9.331583e-7,"domain_scores_codex":[0.9992293,0.00002725837,0.0001202617,0.0001988276,0.0002009909,0.0002233226],"domain_scores_gemma":[0.9996884,0.00002436053,0.00004444876,0.0001217045,0.00007848958,0.00004256752],"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":[0.00001173503,0.00008997793,0.007926876,0.00002177056,0.00004278416,0.000009826793,0.002030162,0.0004039743,0.001007825,0.09084823,0.1187242,0.7788826],"study_design_scores_gemma":[0.0002517849,0.00007471941,0.004063771,0.00001041428,0.00001555237,0.00002223593,0.00002682166,0.9630457,0.0008249817,0.00965315,0.02180825,0.0002025983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01107867,0.00006160632,0.9713237,0.0003982968,0.000606769,0.00003530105,2.660439e-7,0.0001707636,0.01632462],"genre_scores_gemma":[0.8193206,0.000001991133,0.1755683,0.001413474,0.003399067,8.759032e-7,4.374921e-7,0.000005505981,0.0002897922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9626417,"threshold_uncertainty_score":0.3393456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04711963411270611,"score_gpt":0.2826838474381188,"score_spread":0.2355642133254126,"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."}}