{"id":"W2885120750","doi":"10.24908/pceea.v0i0.9531","title":"APPLYING METACOGNITIVE STRATEGIES TO TEACHING ENGINEERING INNOVATION, DESIGN, AND LEADERSHIP","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Teamwork; Creativity; Psychology; Team effectiveness; Engineering education; Capstone; Cooperative learning; Knowledge management; Interpersonal communication; Mathematics education; Engineering; Medical education; Teaching method; Computer science; Engineering management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001513061,0.0004754328,0.0002049225,0.0009275157,0.0004217385,0.001828784,0.0007356359,0.0003634638,0.002647944],"category_scores_gemma":[0.006718129,0.0001955417,0.000239814,0.00038907,0.0006166365,0.0007573647,0.001340456,0.001055746,0.0004773612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006522052,"about_ca_system_score_gemma":0.001276555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004986518,"about_ca_topic_score_gemma":0.001273317,"domain_scores_codex":[0.9991415,0.0004365123,0.00003583443,0.0001146367,0.0001891152,0.00008238856],"domain_scores_gemma":[0.9962885,0.00242557,0.0003142934,0.0003077926,0.0002576372,0.0004062256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002590365,0.007829788,0.007935623,0.0006552654,0.00004614753,0.0002598936,0.01034916,0.002675845,0.01371661,0.008561783,0.007060219,0.9406506],"study_design_scores_gemma":[0.0033051,0.01922584,0.1593886,0.00563837,0.0007507323,0.003014341,0.04171752,0.1162698,0.1297159,0.1582858,0.3622625,0.0004253774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8204107,0.001762531,0.0933829,0.00291659,0.0002658698,0.0009852642,0.00004469368,0.0009539051,0.07927764],"genre_scores_gemma":[0.9171876,0.0009090424,0.07376584,0.0003248052,0.00005088891,0.0007289572,0.00004028736,0.00002992401,0.006962625],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002647944,"threshold_uncertainty_score":0.008858204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240369283009079,"score_gpt":0.2178227516709309,"score_spread":0.193785823370023,"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."}}