{"id":"W2250268452","doi":"","title":"Identification of Speakers in Novels","year":2013,"lang":"en","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Task (project management); Identification (biology); Computer science; Natural language processing; Narrative; Artificial intelligence; Speech recognition; Linguistics; Engineering","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":[0.001918535,0.0006632806,0.0006807314,0.0009213213,0.001225904,0.001757643,0.0006944309,0.001121449,0.00383031],"category_scores_gemma":[0.007906873,0.0003268733,0.0005051479,0.0004731288,0.0006598208,0.002392171,0.001460821,0.001009291,0.003575469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374991,"about_ca_system_score_gemma":0.0002865545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006084931,"about_ca_topic_score_gemma":0.0008900262,"domain_scores_codex":[0.9973023,0.0008405942,0.0001327691,0.001163906,0.0004091281,0.0001513193],"domain_scores_gemma":[0.9950216,0.002254356,0.000683343,0.0008154662,0.0009617484,0.0002635299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003017508,0.0004930588,0.05426779,0.00125584,0.0003265297,0.003164893,0.0142093,0.008062761,0.2535828,0.00660772,0.01632984,0.638682],"study_design_scores_gemma":[0.0002619523,0.001558886,0.1673313,0.0004008404,0.0005151848,0.01497553,0.02342514,0.386608,0.3104207,0.01732068,0.07675721,0.0004246857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8544286,0.001088619,0.1240328,0.0005033039,0.000462616,0.0002804226,0.001833896,0.002849447,0.01452022],"genre_scores_gemma":[0.9278398,0.0003338234,0.06464402,0.00008071888,0.0001541472,0.00009137868,0.002270796,0.0002132582,0.004372121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00383031,"threshold_uncertainty_score":0.01281369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587556571042371,"score_gpt":0.2291732713894288,"score_spread":0.2132977056790051,"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."}}