{"id":"W2012046391","doi":"10.1109/tee.2010.5508814","title":"Building a Foundation for Multidisciplinary Design Using Case Studies","year":2010,"lang":"en","type":"article","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multidisciplinary approach; Foundation (evidence); Discipline; Work (physics); Engineering ethics; Computer science; Engineering management; Multidisciplinary team; Engineering; Mechanical engineering; Sociology; Political science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003349732,0.00006938579,0.00006509551,0.00005409289,0.0001412859,0.00003872243,0.00003306252,0.00003299546,0.00006645811],"category_scores_gemma":[0.0001977291,0.00006578572,0.00001996819,0.00007497056,0.0000131401,0.0002928161,0.000009146788,0.00008123304,0.00001457135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000283692,"about_ca_system_score_gemma":0.00001934293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008274822,"about_ca_topic_score_gemma":0.00001882911,"domain_scores_codex":[0.9996551,0.00001497039,0.0001045265,0.00008225412,0.00003626039,0.0001069413],"domain_scores_gemma":[0.9992939,0.0004903628,0.00001907429,0.00009531932,0.00006755156,0.00003377553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004806032,0.00009678518,0.00007659495,0.0002563504,0.00023581,0.00009238422,0.004886586,0.07490958,0.8265443,0.0145417,0.006399802,0.07191204],"study_design_scores_gemma":[0.000316543,0.00002598711,0.00002139853,0.000009433797,0.00005805381,0.00109429,0.001722135,0.9596179,0.02480247,0.002430026,0.009672657,0.0002290849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2132701,0.00003920687,0.7846865,0.00008382452,0.001208591,0.0002211716,5.599289e-7,0.0001513288,0.0003387411],"genre_scores_gemma":[0.5526586,0.000004040953,0.4470727,0.00001645363,0.0001089005,0.000025454,6.743054e-7,0.00001261668,0.0001005483],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8847083,"threshold_uncertainty_score":0.2682664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142083778132193,"score_gpt":0.4175079019525437,"score_spread":0.2754241238203506,"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."}}