{"id":"W7098318012","doi":"","title":"government, healthcare & higher education, Vancouver, Canada. Data Mining for Evaluation, Benchmarking and Reflective Practice in a LMS","year":2008,"lang":"en","type":"article","venue":"","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Asynchronous communication; Learning Management; Health care; Reflection (computer programming); Order (exchange); Perspective (graphical); Unit (ring theory)","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":[0.003314194,0.0003717522,0.0004048261,0.00271867,0.003360003,0.004192203,0.001160769,0.0007979026,0.04558877],"category_scores_gemma":[0.01572781,0.0004693775,0.0001993758,0.00610563,0.0008354488,0.00105179,0.001189577,0.001047756,0.008166219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02088851,"about_ca_system_score_gemma":0.04176741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.877163,"about_ca_topic_score_gemma":0.9418375,"domain_scores_codex":[0.9977595,0.0004225063,0.0001271717,0.0003160565,0.001075152,0.0002996935],"domain_scores_gemma":[0.9837471,0.004520592,0.0006333748,0.0007577591,0.00767495,0.002666204],"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":[0.000342984,0.0002109022,0.06812896,0.0007277177,0.00004542028,0.0002411753,0.00193182,0.001659236,0.001618528,0.004496791,0.1538551,0.7667413],"study_design_scores_gemma":[0.00009834507,0.0002164197,0.5854816,0.001066319,0.00004787725,0.0002037358,0.005986432,0.01413998,0.003473495,0.003147201,0.3860343,0.0001042641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3509227,0.01698046,0.0358838,0.03157786,0.0007550591,0.002539024,0.1291611,0.006415138,0.4257649],"genre_scores_gemma":[0.5320094,0.004570542,0.05538468,0.0009349354,0.00006330516,0.0008205965,0.01799615,0.0008098545,0.3874106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.122837,"threshold_uncertainty_score":0.2471208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098910388783527,"score_gpt":0.3723628036153527,"score_spread":0.262471764737,"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."}}