{"id":"W3009864101","doi":"10.1007/978-981-15-3380-8_27","title":"Genre-ous: The Movie Genre Detector","year":2020,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Film genre; Computer science; Natural language processing; Artificial intelligence; Natural (archaeology); Linguistics; Literature; Art; History; Philosophy; Movie theater","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":[0.001811024,0.001586019,0.001485566,0.006017372,0.0008291372,0.002820846,0.001907478,0.001424801,0.02161902],"category_scores_gemma":[0.007727823,0.0007981445,0.0009267631,0.004757782,0.0003085586,0.003612392,0.002531848,0.001362294,0.02316599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005839001,"about_ca_system_score_gemma":0.0009183997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002659613,"about_ca_topic_score_gemma":0.004717677,"domain_scores_codex":[0.9986745,0.0002548585,0.0001078713,0.0003004488,0.0005341281,0.000128156],"domain_scores_gemma":[0.9977751,0.000758828,0.000120949,0.0006878721,0.0004088864,0.000248234],"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":[0.0005951894,0.0002214907,0.004666448,0.0002813565,0.0001017492,0.0001252349,0.0001084129,0.001625671,0.006471492,0.007457072,0.4498755,0.5284703],"study_design_scores_gemma":[0.0003163222,0.000268602,0.01015167,0.0001981327,0.0001376667,0.00115902,0.0002014249,0.4390472,0.04854668,0.05506171,0.4446958,0.0002158381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03062693,0.004712143,0.5155755,0.001660367,0.003157016,0.0006560147,0.09423088,0.3128593,0.03652179],"genre_scores_gemma":[0.1482409,0.002003794,0.6489957,0.001073295,0.001545464,0.0007872647,0.1177546,0.01777266,0.06182627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02161902,"threshold_uncertainty_score":0.07232285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06717658756664655,"score_gpt":0.2998178060410262,"score_spread":0.2326412184743797,"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."}}