{"id":"W2256011383","doi":"","title":"Knowledge Building to Solve Problems of Traditional Bedside Teaching","year":2006,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002084296,0.0004098125,0.0003859545,0.001055812,0.001252617,0.002227263,0.001580201,0.001286729,0.009429472],"category_scores_gemma":[0.006832226,0.0001847639,0.0005514289,0.0005728045,0.001265706,0.002347458,0.002000117,0.002250925,0.00154033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365741,"about_ca_system_score_gemma":0.00534448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001331931,"about_ca_topic_score_gemma":0.003029214,"domain_scores_codex":[0.9988095,0.0004516756,0.00005173247,0.0001702227,0.0003881371,0.0001288767],"domain_scores_gemma":[0.9945409,0.003205346,0.0003230706,0.0007307881,0.0006643661,0.0005354913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002064941,0.007511806,0.008484488,0.0009257435,0.00008181402,0.0003527364,0.005604122,0.00198507,0.007487553,0.03225118,0.01111925,0.9239897],"study_design_scores_gemma":[0.001115509,0.006617534,0.09714892,0.004350772,0.0008234908,0.007137453,0.02779457,0.0330658,0.06403849,0.4948866,0.2627639,0.0002568993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5244345,0.003926977,0.2208259,0.01888149,0.0008390862,0.001140007,0.0001521885,0.001488232,0.2283115],"genre_scores_gemma":[0.8112715,0.001913486,0.1561234,0.002078051,0.000165267,0.0003887381,0.0001435117,0.00008293339,0.02783318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009429472,"threshold_uncertainty_score":0.03154474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09703663555421546,"score_gpt":0.321757579309993,"score_spread":0.2247209437557776,"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."}}