{"id":"W4319871940","doi":"10.31468/dwr.999","title":"Genres in the Public Domain: Genre Uptakes, Responses, and Responsibility","year":2023,"lang":"en","type":"article","venue":"Discourse and Writing/Rédactologie","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"World Bank Group","keywords":"Publics; Rhetorical question; Action (physics); Presidential system; Government (linguistics); Natural disaster; Public opinion; Public domain; Natural (archaeology); Public relations; Political science; Media studies; Sociology; Linguistics; History; Literature; Art; Geography; Law; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01018367,0.0004372717,0.0005045122,0.00426291,0.008254975,0.01273029,0.0008509321,0.001437644,0.004776482],"category_scores_gemma":[0.0339131,0.0003566361,0.0002587252,0.003218635,0.02419191,0.01091175,0.007600947,0.003650313,0.0003853876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005989578,"about_ca_system_score_gemma":0.002289426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003440009,"about_ca_topic_score_gemma":0.003986051,"domain_scores_codex":[0.9903189,0.006637247,0.0002839781,0.0006365811,0.001559534,0.0005638981],"domain_scores_gemma":[0.9618022,0.02916817,0.004284307,0.001588697,0.001788575,0.001367958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000774449,0.0000552836,0.01291047,0.0001791228,0.00001099143,0.0005941479,0.7783995,0.00009854859,0.001648026,0.1743714,0.001625567,0.03002948],"study_design_scores_gemma":[0.00001996849,0.00007967358,0.02030641,0.0005319535,0.00001815175,0.0004775384,0.8376607,0.0004457281,0.001099318,0.0573603,0.08196568,0.00003456457],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.676595,0.003638164,0.014303,0.02003911,0.0005180815,0.0001072389,0.0001002796,0.00009487518,0.2846043],"genre_scores_gemma":[0.9954212,0.0004811947,0.000858242,0.0003475802,0.0001400506,0.00003276989,0.00002373563,0.00005674595,0.002638352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01273029,"threshold_uncertainty_score":0.05385697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1530722992112766,"score_gpt":0.4004646883633417,"score_spread":0.2473923891520651,"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."}}