{"id":"W3002964367","doi":"10.24908/pceea.vi0.13750","title":"CLIENT-BASED CORNERSTONE DESIGN PROJECTS","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cornerstone; Multidisciplinary approach; Flexibility (engineering); Engineering design process; Work (physics); Process (computing); Indigenous; Engineering management; Best practice; Medical education; Computer science; Engineering; Medicine; Sociology; Management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003600699,0.000176829,0.0001711395,0.0003272882,0.00006169515,0.00006506719,0.0002881492,0.0002021504,0.00006433525],"category_scores_gemma":[0.0003072405,0.0001716312,0.00007850639,0.0007141235,0.00001318917,0.0001646281,0.00001058998,0.0002604822,0.00006257997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002057929,"about_ca_system_score_gemma":0.0005702869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009882796,"about_ca_topic_score_gemma":0.0002426973,"domain_scores_codex":[0.9988721,0.000004476397,0.0002598673,0.000172319,0.000326061,0.0003651852],"domain_scores_gemma":[0.9992195,0.00005372826,0.0001141888,0.0001288214,0.0002612074,0.0002225828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001723261,0.0003747224,0.123894,0.006758642,0.0005147767,2.718843e-7,0.003234494,0.3121253,0.08356175,0.01697563,0.4461754,0.006367777],"study_design_scores_gemma":[0.001284382,0.0001217985,0.2435862,0.001280155,0.0001847094,0.000009603083,0.000645993,0.5269938,0.05469163,0.0003000588,0.1691619,0.001739853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609157,0.0004110502,0.001270174,0.004926333,0.01443839,0.001906756,0.00003976465,0.0009589524,0.01513286],"genre_scores_gemma":[0.9957392,0.000006967965,0.002403893,0.0001625211,0.0001664969,0.00007841271,0.0000126465,0.00005263594,0.001377222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2770135,"threshold_uncertainty_score":0.6998919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006108320976691949,"score_gpt":0.1711209683442671,"score_spread":0.1650126473675751,"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."}}