{"id":"W2624660143","doi":"","title":"Writing by design: Integrating composition into the engineering curriculum","year":2003,"lang":"en","type":"article","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Composition (language); Curriculum; Engineering ethics; Computer science; Engineering; Pedagogy; Sociology; Linguistics; Philosophy","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":[0.004999862,0.0006673845,0.0005264927,0.0007843703,0.00173956,0.005237888,0.001420464,0.001428518,0.01284047],"category_scores_gemma":[0.01680708,0.0005402775,0.0004920189,0.0006880626,0.00227167,0.00656754,0.003921823,0.001892536,0.002610155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008788732,"about_ca_system_score_gemma":0.003648711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079826,"about_ca_topic_score_gemma":0.001403098,"domain_scores_codex":[0.9973003,0.001597709,0.0001431313,0.0003349442,0.0004583632,0.0001655387],"domain_scores_gemma":[0.9919086,0.005078064,0.0003414705,0.00106603,0.0008032148,0.0008024886],"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":[0.0003112283,0.001290392,0.005099734,0.0005346741,0.00002100846,0.0002216685,0.01680022,0.005291676,0.00834156,0.1423686,0.01275869,0.8069606],"study_design_scores_gemma":[0.0003763877,0.001191122,0.006356452,0.001139429,0.0001877191,0.0009808824,0.01141984,0.05002949,0.03185578,0.4614866,0.4348604,0.0001158102],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1429482,0.00124873,0.6031235,0.004453843,0.001122307,0.0005891473,0.00006133157,0.003844201,0.2426087],"genre_scores_gemma":[0.4241993,0.001179663,0.5130249,0.0007898848,0.0002458848,0.0004043755,0.0002544837,0.0008730589,0.0590285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01284047,"threshold_uncertainty_score":0.0429557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009285288597707393,"score_gpt":0.2359805175275917,"score_spread":0.2266952289298843,"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."}}