{"id":"W2338299047","doi":"10.1093/llc/fqv072","title":"Using Models of Lexical Style to Quantify Free Indirect Discourse in Modernist Fiction","year":2016,"lang":"en","type":"article","venue":"Digital Scholarship in the Humanities","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Style (visual arts); Narrative; Linguistics; Character (mathematics); Computer science; Literature; History; Art; Philosophy; Mathematics","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":[0.00323984,0.0006787906,0.000455988,0.004734084,0.0009252389,0.004738154,0.0006186567,0.0007910926,0.002417109],"category_scores_gemma":[0.01677259,0.0005037006,0.0009625817,0.002553433,0.002017601,0.004656871,0.002345168,0.001154657,0.0008419044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742075,"about_ca_system_score_gemma":0.0006660336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006426108,"about_ca_topic_score_gemma":0.009476189,"domain_scores_codex":[0.99871,0.000593146,0.00009606339,0.0003086254,0.000195083,0.00009698012],"domain_scores_gemma":[0.9899317,0.007577983,0.000871215,0.0007755703,0.00060832,0.0002351577],"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":[0.0007391644,0.000579221,0.2898097,0.0004749059,0.0005267885,0.0008932545,0.04285837,0.2209516,0.01590438,0.1652237,0.005365815,0.2566729],"study_design_scores_gemma":[0.00003125553,0.0001108442,0.06019939,0.00007410651,0.00005918985,0.000285704,0.00306182,0.8233638,0.002089417,0.1054065,0.005220366,0.00009756708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7187298,0.0004287309,0.2624859,0.0004900712,0.0000514852,0.0001583682,0.00100987,0.0006234997,0.0160223],"genre_scores_gemma":[0.971155,0.00009453094,0.02627805,0.00003198603,0.00002113261,0.000106898,0.0008012074,0.00008896083,0.001422124],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006426108,"threshold_uncertainty_score":0.01713413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134762404888361,"score_gpt":0.3390166951069459,"score_spread":0.2042542902185849,"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."}}