{"id":"W4382404276","doi":"10.1080/10572252.2023.2229398","title":"Navigating Genres in Interdisciplinary Life Sciences Doctoral Programs","year":2023,"lang":"en","type":"article","venue":"Technical Communication Quarterly","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Apprenticeship; Sociology; Pedagogy; Engineering ethics; Technical communication; Genre analysis; Discipline; Social science; Engineering; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0008479048,0.0001347493,0.0002233915,0.0001176978,0.0006744998,0.000201375,0.0008701959,0.00004030624,0.0001886616],"category_scores_gemma":[0.00005795409,0.000112095,0.00009765007,0.0003953877,0.001213793,0.0003456202,0.0005465918,0.0003752734,0.0002075841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003408479,"about_ca_system_score_gemma":0.00002211396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003225875,"about_ca_topic_score_gemma":0.005727944,"domain_scores_codex":[0.9986253,0.0001551748,0.0004396008,0.0002324234,0.000263047,0.0002844906],"domain_scores_gemma":[0.9989858,0.000191429,0.000125373,0.0005901378,0.00006138691,0.000045825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002297653,0.0004655247,0.00275595,0.00005029907,0.00008022709,0.0000157596,0.1839324,0.00003683141,0.0001800498,0.3699568,0.008684109,0.4338191],"study_design_scores_gemma":[0.0009796455,0.001848179,0.009613275,0.001335294,0.0001124141,0.000006941289,0.8480813,0.0037372,0.00002773709,0.1151702,0.01782384,0.001263988],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741581,0.0014412,0.00001977906,0.009299716,0.0001267269,0.0003986517,0.000008324181,0.001157699,0.1133898],"genre_scores_gemma":[0.9988116,0.00002759781,0.0004553166,0.000108852,0.00009305489,0.0001574239,0.00005362699,0.00001349495,0.0002790489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6641488,"threshold_uncertainty_score":0.5187775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08358038586744562,"score_gpt":0.3839520330658516,"score_spread":0.300371647198406,"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."}}