{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006747685,0.0002202342,0.0001868793,0.0006815667,0.0001766105,0.000189093,0.0002324614,0.0001786885,0.00001440584],"category_scores_gemma":[0.001134754,0.0002256805,0.00003675357,0.001112296,0.00002394212,0.0003888363,0.00002402102,0.0003503929,0.00001262664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008297,"about_ca_system_score_gemma":0.0002802338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006733252,"about_ca_topic_score_gemma":0.0002401789,"domain_scores_codex":[0.9987487,0.000006252957,0.0003368709,0.0002085014,0.0002780229,0.000421626],"domain_scores_gemma":[0.998958,0.0000813037,0.00009976738,0.00009134487,0.0005358057,0.0002337705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002542073,0.0002482432,0.0140289,0.007479596,0.001634112,5.946222e-7,0.03526147,0.09898154,0.3645343,0.1569381,0.2668357,0.05403199],"study_design_scores_gemma":[0.001144047,0.0002758124,0.1977188,0.003157138,0.0004740091,0.00004697645,0.009133754,0.2975707,0.1047769,0.002124767,0.3798911,0.003686057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8759365,0.001086184,0.0765459,0.01354635,0.01394704,0.004889122,0.00006430247,0.002271093,0.01171351],"genre_scores_gemma":[0.9850689,0.000005154689,0.0133863,0.0002926587,0.0004825391,0.0002669236,0.000006743253,0.00005953059,0.000431299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2597575,"threshold_uncertainty_score":0.9202984,"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."}}