{"id":"W2586031847","doi":"10.18260/1-2--17567","title":"Bi-Modal No More Shifting the Curve in Material and Energy Balances Courses","year":2020,"lang":"en","type":"article","venue":"","topic":"Learning Styles and Cognitive Differences","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Vocabulary; Class (philosophy); Experiential learning; Process (computing); Computer science; Mathematics education; Modal; Energy (signal processing); Active learning (machine learning); Problem-based learning; Multimedia; Artificial intelligence; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006925601,0.0000856164,0.0001141889,0.00001475733,0.00005683113,0.00005688933,0.0001052084,0.00004269371,0.00171498],"category_scores_gemma":[0.00004007988,0.00005072023,0.0000183829,0.00006893568,0.00009328513,0.00003508671,0.00004540182,0.00008490677,0.00004869676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002354414,"about_ca_system_score_gemma":0.000008308054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009629115,"about_ca_topic_score_gemma":0.0000984695,"domain_scores_codex":[0.999355,0.0001093773,0.0001060657,0.0001958497,0.00007088071,0.0001628489],"domain_scores_gemma":[0.9997384,0.0001147202,0.00003768818,0.00005375879,0.00002176497,0.00003366834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004408397,0.00009913124,0.8575386,0.00002565933,0.0001043136,0.00006202346,0.01849135,0.000003539721,0.001102637,0.05956571,0.005419824,0.0571464],"study_design_scores_gemma":[0.0008530986,0.0003070048,0.9554259,0.00002889614,0.00001691197,0.000006807363,0.01787761,0.0006252818,0.000333199,0.0004257463,0.02383268,0.0002668337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536629,0.0001316167,0.000035106,0.003782674,0.0002831339,0.00003008414,0.00001133302,0.00003324233,0.04202992],"genre_scores_gemma":[0.9963511,0.0000200051,0.00002018391,0.002223589,0.0003180853,0.00001390501,0.0000074042,0.000007090027,0.001038606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09788736,"threshold_uncertainty_score":0.9991976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196420717225872,"score_gpt":0.290552590654348,"score_spread":0.2709105189317608,"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."}}