{"id":"W2149852996","doi":"10.24908/pceea.v0i0.4010","title":"FOSTERING COLLABORATION IN ENGINEERING DESIGN EDUCATION","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Engineering education; Medical education; Psychology; Engineering; Mathematics education; Engineering management; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0009270102,0.0001247313,0.0001280399,0.0006091352,0.0002224812,0.00008423181,0.0003591616,0.0002512315,0.00003940534],"category_scores_gemma":[0.001906537,0.0001445092,0.00004299749,0.001255224,0.00002430696,0.0004464585,0.00003189744,0.0002182734,0.000008670759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00353828,"about_ca_system_score_gemma":0.003121322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02955422,"about_ca_topic_score_gemma":0.03102856,"domain_scores_codex":[0.9988817,0.00001842664,0.0002934977,0.0001917101,0.0002700449,0.0003446382],"domain_scores_gemma":[0.9988369,0.00004469759,0.0002630408,0.0001014966,0.0006056837,0.0001481936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001180425,0.0006264075,0.4461975,0.0004163298,0.0001269607,1.791437e-7,0.156447,0.001400268,0.006619707,0.3426845,0.02818817,0.01728113],"study_design_scores_gemma":[0.0006958067,0.00008398501,0.8042022,0.0009418331,0.0001731319,0.000007305568,0.06240159,0.002680266,0.0237274,0.02079813,0.08272856,0.001559796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621917,0.0004983161,0.0005101469,0.0173739,0.01400399,0.002951016,0.00001371013,0.0005043304,0.1019529],"genre_scores_gemma":[0.9937108,0.00002006276,0.004745855,0.0001114178,0.0001687036,0.0001626653,0.000003437555,0.00002238473,0.001054706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3580047,"threshold_uncertainty_score":0.9866526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493763385431851,"score_gpt":0.2585662704650965,"score_spread":0.233628636610778,"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."}}