{"id":"W2792179510","doi":"10.1002/aet2.10087","title":"Learning Analytics in Medical Education Assessment: The Past, the Present, and the Future","year":2018,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Innovations in Medical Education","field":"Medicine","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Hamilton Health Sciences; Saskatchewan Polytechnic; McMaster University","funders":"McMaster University","keywords":"Analytics; Learning analytics; Computer science; Medical education; Data science; Intersection (aeronautics); Knowledge management; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02196378,0.0008290499,0.001091397,0.005093696,0.001211685,0.01153567,0.002041294,0.002940056,0.00136843],"category_scores_gemma":[0.02574598,0.000452954,0.0006678161,0.005990551,0.008547179,0.01407508,0.003652266,0.00460519,0.0004179711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005214087,"about_ca_system_score_gemma":0.008341216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003258263,"about_ca_topic_score_gemma":0.004198141,"domain_scores_codex":[0.9871898,0.007879762,0.001041055,0.000709902,0.002779859,0.0003996376],"domain_scores_gemma":[0.9493271,0.041528,0.002386379,0.001217607,0.004417389,0.001123496],"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":[0.00004106718,0.0001387492,0.003869571,0.006215845,0.00005559458,0.0001316801,0.006246463,0.00112122,0.0004096683,0.1412534,0.005419067,0.8350976],"study_design_scores_gemma":[0.00003462469,0.0003171312,0.008801012,0.0458998,0.0001021551,0.001142965,0.02161831,0.007250958,0.001561275,0.3380885,0.5749423,0.0002410222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007177177,0.8610672,0.04073439,0.06632752,0.001244518,0.0000938993,0.00006022268,0.0001473756,0.02314772],"genre_scores_gemma":[0.172263,0.7370338,0.07670613,0.007652996,0.00259249,0.0003653858,0.00008509961,0.00007579686,0.003225271],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02196378,"threshold_uncertainty_score":0.1161569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985507439758623,"score_gpt":0.3859644463299982,"score_spread":0.3661093719324119,"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."}}