{"id":"W1959372932","doi":"10.24908/pceea.v0i0.3795","title":"PROMOTING COLLABORATIVE, SELF-DIRECTED, HANDS-ON LEARNING IN ENGINEERING DESIGN IN UNDERGRADUATE AND GRADUATE TEACHING","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Capstone; Engineering education; Inclusion (mineral); Computer science; Project-based learning; Engineering management; Mathematics education; Engineering; Psychology","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":[0.0008424097,0.0002328515,0.0002281418,0.0007171772,0.00008603516,0.00006776363,0.0001844362,0.0001844013,0.000003293229],"category_scores_gemma":[0.001005023,0.0002431167,0.0000348472,0.0009333303,0.00001076658,0.0002551791,0.00001823103,0.0007302423,0.000002879292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744598,"about_ca_system_score_gemma":0.0002277366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800202,"about_ca_topic_score_gemma":0.000953449,"domain_scores_codex":[0.9987078,0.00001836907,0.0003702671,0.0002245783,0.0002457671,0.0004332173],"domain_scores_gemma":[0.9993786,0.0001008723,0.0001207622,0.00007327435,0.0001348154,0.0001917359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005013441,0.001129332,0.4835855,0.01048164,0.0007866128,0.000006215907,0.1710787,0.2505421,0.01808797,0.02080112,0.02115383,0.02229689],"study_design_scores_gemma":[0.0007396444,0.00009630186,0.3701838,0.001508499,0.00004075217,0.000007762137,0.0006404959,0.6188951,0.005061432,0.0003683914,0.001709502,0.0007483773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945909,0.0001534564,0.00007106221,0.001039039,0.00104298,0.0005711445,0.000003560323,0.0007512339,0.001776624],"genre_scores_gemma":[0.9953114,0.00005192294,0.004256097,0.00002881159,0.00007445459,0.00009914756,0.000003827787,0.00005824877,0.0001160232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.368353,"threshold_uncertainty_score":0.9914013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012777538634199,"score_gpt":0.1899262148127278,"score_spread":0.1797984394263858,"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."}}