{"id":"W2605328615","doi":"10.24908/pceea.v0i0.6447","title":"ARE MULTIDISCIPLINARY DESIGN CAPSTONE'S STUDENTS MORE INNOVATIVE THAN MONODISCIPLINARY ONES?","year":2017,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multidisciplinary approach; Capstone; Rubric; Curriculum; Capstone course; Creativity; Medical education; Engineering ethics; Diversity (politics); Engineering; Psychology; Engineering management; Pedagogy; Sociology; Medicine; Computer science; Social science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004703999,0.0002618749,0.0002523129,0.0003280806,0.0005070355,0.0002432001,0.000925091,0.0002627341,0.00001196132],"category_scores_gemma":[0.0008369915,0.000253896,0.00008221141,0.000459008,0.00005301814,0.0004506448,0.0001012439,0.0003932477,0.00002000466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073884,"about_ca_system_score_gemma":0.0003003219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001474415,"about_ca_topic_score_gemma":0.0009314496,"domain_scores_codex":[0.9984876,0.000005384131,0.0003484067,0.0002401787,0.0004870278,0.0004313931],"domain_scores_gemma":[0.9983665,0.00003922284,0.0004729448,0.0002834977,0.0005524875,0.0002853142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001330283,0.0003601748,0.8399312,0.001874939,0.0005963822,0.000001458617,0.007796823,0.02016489,0.009758999,0.001546067,0.1162106,0.001745206],"study_design_scores_gemma":[0.0001932969,0.00001075107,0.9846061,0.0003333091,0.0000342415,0.000002995673,0.0005025417,0.009877451,0.002331215,0.0001418546,0.001646227,0.0003200207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881197,0.0001486037,0.0001929024,0.004850934,0.004519249,0.0005789249,0.00004549453,0.0002537777,0.001290419],"genre_scores_gemma":[0.9964454,0.00001712753,0.001326559,0.00005111018,0.0003386664,0.0001313473,0.00001472841,0.00006663922,0.001608385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1446749,"threshold_uncertainty_score":0.9999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478610596317593,"score_gpt":0.2561868901994446,"score_spread":0.2414007842362687,"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."}}