{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001271555,0.0008826627,0.0005242617,0.01217511,0.0006008748,0.00158735,0.0005580231,0.0005495159,0.00219926],"category_scores_gemma":[0.009270045,0.0002403331,0.0006237561,0.003975939,0.0004138756,0.002178579,0.0007715468,0.0006710216,0.001033005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009365238,"about_ca_system_score_gemma":0.0004162381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005998189,"about_ca_topic_score_gemma":0.008820955,"domain_scores_codex":[0.9992655,0.0002603424,0.00005292189,0.0001734928,0.0001880647,0.00005972055],"domain_scores_gemma":[0.9952899,0.002504709,0.0007299613,0.0003598781,0.0008534214,0.0002621141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005625495,0.0004854176,0.4656582,0.0005727389,0.0004866389,0.0005958412,0.001510925,0.1055919,0.006204993,0.01589556,0.0124562,0.389979],"study_design_scores_gemma":[0.00002073103,0.0001031633,0.09009607,0.00008158208,0.00007212046,0.0002294687,0.0008986127,0.8859032,0.001962479,0.01386923,0.006727905,0.00003546149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8243605,0.001590355,0.1461209,0.0008322168,0.0001510524,0.000366554,0.006950479,0.0009313434,0.01869658],"genre_scores_gemma":[0.9584029,0.0003609766,0.03631851,0.00002347332,0.00007181411,0.0001221565,0.003349266,0.00004422774,0.001306696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01217511,"threshold_uncertainty_score":0.01192659,"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."}}