{"id":"W2744075470","doi":"10.18260/1-2--27697","title":"Board # 114 : Progress toward Optimizing Student Team Skill Development using Evidence-Based Strategies","year":2018,"lang":"en","type":"article","venue":"","topic":"Problem and Project Based Learning","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Purdue University; Alfred P. Sloan Foundation; American Society for Engineering Education; National Science Foundation","keywords":"Teamwork; Team effectiveness; Metacognition; Leverage (statistics); Psychological intervention; Psychology; Medical education; Cognition; Knowledge management; Cognitive skill; Computer science; Applied psychology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04637314,0.0008914686,0.0006263786,0.001584347,0.00144529,0.004084026,0.003024515,0.005772918,0.01467487],"category_scores_gemma":[0.05574138,0.0005786871,0.0008284773,0.001232926,0.00109154,0.001837085,0.003678539,0.003948725,0.004259937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003544268,"about_ca_system_score_gemma":0.04134858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159725,"about_ca_topic_score_gemma":0.02184892,"domain_scores_codex":[0.9857847,0.00495385,0.002155003,0.001295512,0.004324246,0.001486718],"domain_scores_gemma":[0.9030117,0.01742286,0.008249661,0.00275268,0.04570947,0.02285357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008670739,0.001885333,0.01565419,0.002575745,0.0002350671,0.0001882034,0.0004839488,0.001746977,0.003638799,0.003083982,0.2718978,0.6977429],"study_design_scores_gemma":[0.003513597,0.005637548,0.1228747,0.007819854,0.0007723602,0.0004612308,0.00162173,0.005677325,0.01076151,0.004309691,0.8363848,0.0001657886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.151782,0.04667198,0.05364114,0.5540456,0.04713463,0.01072236,0.00323271,0.001616725,0.1311528],"genre_scores_gemma":[0.4943912,0.04635968,0.1639725,0.07371317,0.01822701,0.006939495,0.008267843,0.0008449923,0.1872842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04637314,"threshold_uncertainty_score":0.2452475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127769306674555,"score_gpt":0.4050883079213979,"score_spread":0.2923113772539425,"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."}}