{"id":"W2164124112","doi":"10.1080/01421590701753450","title":"Integration of e-learning technologies in an interprofessional health science course","year":2008,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Advanced Education; University of Alberta","funders":"","keywords":"Blended learning; Medical education; Team-based learning; Pharmacy; Psychology; Interprofessional education; Health care; Medicine; Educational technology; Nursing; Mathematics education","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":[0.00257259,0.000350001,0.0002789252,0.0005857833,0.0006704039,0.001395067,0.0008487748,0.0004908941,0.003298341],"category_scores_gemma":[0.004412771,0.0001962395,0.0003689688,0.0003852149,0.0002546354,0.0009302296,0.002377229,0.0008686065,0.0009068763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009636713,"about_ca_system_score_gemma":0.002034427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005000343,"about_ca_topic_score_gemma":0.0007454673,"domain_scores_codex":[0.9983884,0.0004675259,0.0001455037,0.000206975,0.0004670114,0.0003245732],"domain_scores_gemma":[0.9969553,0.0008333205,0.0002962951,0.0002994357,0.0004782631,0.001137431],"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":[0.001536834,0.04411837,0.0810266,0.0002761173,0.00005012345,0.0003334577,0.003192126,0.001611285,0.01631062,0.0004082431,0.0009029348,0.8502334],"study_design_scores_gemma":[0.001749207,0.08657777,0.7613931,0.0007444923,0.0003997913,0.001790928,0.01081672,0.01594683,0.07896084,0.002802331,0.03862187,0.0001961473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920878,0.00008565667,0.003552248,0.0001869915,0.00002703328,0.0004287656,0.00002995629,0.00007921901,0.003522332],"genre_scores_gemma":[0.976143,0.0001845216,0.01999589,0.0002423684,0.00003683336,0.0004072168,0.0001421094,0.0000127992,0.002835242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003298341,"threshold_uncertainty_score":0.01360536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06487066302609619,"score_gpt":0.4983164735549537,"score_spread":0.4334458105288576,"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."}}