{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00236758,0.0002804066,0.0003992743,0.0003367767,0.0007895583,0.0006014461,0.0003435716,0.00007977962,0.0002019785],"category_scores_gemma":[0.0006992117,0.0001806845,0.0001040612,0.0002483499,0.001528457,0.0003792099,0.0002423222,0.0003240446,0.00003905859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002523376,"about_ca_system_score_gemma":0.00006829412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001679971,"about_ca_topic_score_gemma":0.003904698,"domain_scores_codex":[0.9975767,0.0004995788,0.0004236581,0.0005371162,0.0003348096,0.0006281069],"domain_scores_gemma":[0.9981158,0.00110408,0.0001135702,0.0005147652,0.00007718859,0.00007460424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002300048,0.0002523337,0.06760456,0.0001112884,0.0002692085,0.001106692,0.09164623,0.000001318306,0.0001030785,0.7844548,0.0184053,0.03581519],"study_design_scores_gemma":[0.0007482254,0.0001504436,0.109577,0.00008142263,0.0001247223,0.00004691181,0.7986032,0.0000489386,0.00001586196,0.0163491,0.07368816,0.0005660293],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539015,0.005285933,0.000002172653,0.01894106,0.0001369544,0.0002600125,0.00009823831,0.0001633827,0.02121072],"genre_scores_gemma":[0.9961724,0.00103454,0.00003673798,0.0005809169,0.0003320755,0.00007738191,0.00004593009,0.00002221742,0.001697746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7681057,"threshold_uncertainty_score":0.7368101,"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."}}