{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01260789,0.0006499866,0.001660661,0.001291118,0.003117959,0.01064407,0.002620977,0.003916235,0.01079667],"category_scores_gemma":[0.03969064,0.0004780375,0.0007837643,0.002236345,0.009584248,0.0177195,0.007438857,0.006242877,0.001783693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006396692,"about_ca_system_score_gemma":0.003866042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003352567,"about_ca_topic_score_gemma":0.00302187,"domain_scores_codex":[0.9929368,0.004050706,0.0001654269,0.0006012781,0.001610028,0.000635744],"domain_scores_gemma":[0.9643553,0.02736104,0.0008383279,0.001817236,0.003263795,0.002364203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003216384,0.00006589881,0.0004781371,0.0001013043,0.00002056961,0.00004407182,0.0002255295,0.009279894,0.00005446592,0.9277983,0.01836232,0.04353727],"study_design_scores_gemma":[0.000008535058,0.0000102328,0.000151071,0.00006015422,0.000003656192,0.00002705582,0.0002463361,0.008954623,0.00004274776,0.9794828,0.01099981,0.00001291216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03777223,0.04376752,0.5264025,0.1740391,0.003131822,0.0001153265,0.0004578533,0.0004228883,0.2138907],"genre_scores_gemma":[0.8792766,0.02487118,0.05145571,0.007803546,0.004839673,0.0002807088,0.0002291439,0.0003499674,0.03089356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01260789,"threshold_uncertainty_score":0.06667769,"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."}}