{"id":"W4245670559","doi":"10.37514/per-b.2011.2379.2.15","title":"A Code of Ethics as a Collaborative Learning Tool: Comparing a Face-to-Face Engineering Team and Multidisciplinary Online Teams","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multidisciplinary approach; Face (sociological concept); Multidisciplinary team; Face-to-face; Code (set theory); Engineering ethics; Psychology; Knowledge management; Computer science; Medical education; Engineering management; Engineering; Sociology; Medicine; Nursing; Philosophy; Social science; Epistemology; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000243244,0.0005858783,0.0006997263,0.000357711,0.00007537299,0.00003637412,0.0002243316,0.0004658918,0.0001238644],"category_scores_gemma":[0.0001243139,0.0006185011,0.00007726669,0.0001484464,0.0000413604,0.00008759095,0.0002018542,0.001402338,0.00006756034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996485,"about_ca_system_score_gemma":0.0001718928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002038021,"about_ca_topic_score_gemma":0.0000568429,"domain_scores_codex":[0.9983401,0.00001163834,0.0005924748,0.0004016023,0.0003192447,0.0003349075],"domain_scores_gemma":[0.999066,0.0001376377,0.0001044373,0.0002789182,0.0001849869,0.000228051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005082547,0.0001706066,0.0005544739,0.002988373,0.001135076,0.00002467639,0.09561923,0.8455112,0.00322569,0.04399017,0.002586531,0.004143139],"study_design_scores_gemma":[0.002931324,0.0009689428,0.006702392,0.01095617,0.0005307708,0.0001798463,0.01617249,0.408448,0.006021429,0.0007856801,0.5380285,0.008274493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2715655,0.005918842,0.06724363,0.0004207444,0.003151645,0.003793651,0.0002559889,0.00463731,0.6430127],"genre_scores_gemma":[0.7376924,0.001922257,0.04543387,0.00006866709,0.0002097575,0.000126345,0.0002428602,0.0005430065,0.2137609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5354419,"threshold_uncertainty_score":0.9996266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350872077574811,"score_gpt":0.2620559727153865,"score_spread":0.2385472519396384,"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."}}