{"id":"W4200482807","doi":"10.36834/cmej.73511","title":"Pareto distribution in virtual education: challenges and opportunities","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Pareto principle; Distribution (mathematics); Computer science; Pareto distribution; Data science; Operations research; Mathematics; Mathematical optimization; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004420906,0.00006569647,0.00009078667,0.000134786,0.0001216059,0.00014581,0.0002177733,0.00008386742,0.0004468467],"category_scores_gemma":[0.002656464,0.00006703461,0.00002065015,0.0001366286,0.00004847548,0.0002216984,0.00002381695,0.0003977385,0.000007379804],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001691073,"about_ca_system_score_gemma":0.06469987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004345784,"about_ca_topic_score_gemma":0.008668659,"domain_scores_codex":[0.9990702,0.0001253337,0.0001936373,0.0001474529,0.0002726499,0.000190777],"domain_scores_gemma":[0.9968098,0.00003801806,0.00004940632,0.0001339568,0.0002378669,0.002730952],"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":[2.386106e-7,0.0000595305,0.0001842165,0.000006027341,0.000003590125,0.00005897939,0.000761066,0.000002612607,2.511584e-7,0.1449435,0.01462191,0.8393581],"study_design_scores_gemma":[0.0002098572,0.00004725916,0.01363101,0.0003452514,0.000006815344,0.002475615,0.01047331,0.00453219,0.000003478386,0.01257749,0.9554875,0.0002102458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03002253,0.01845971,0.002078969,0.9421822,0.00264285,0.00003896513,0.000003943933,0.00002075216,0.004550114],"genre_scores_gemma":[0.9637627,0.0120701,0.000916876,0.01988233,0.001180944,0.000006289096,0.00005272654,0.000007522414,0.002120514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9408656,"threshold_uncertainty_score":0.9406024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811046496648949,"score_gpt":0.2898067727538699,"score_spread":0.2616963077873804,"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."}}