{"id":"W268891095","doi":"10.3138/cjpe.0015.009","title":"A Performance Measurement and Evaluation Framework for Continuing Education","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Continuing education; Performance measurement; Data collection; Evaluation methods; Computer science; Process management; Business; Medical education; Engineering; Statistics; Reliability engineering; Mathematics; Medicine; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03751922,0.0001284946,0.0002174327,0.0006372689,0.000262631,0.0004617994,0.0002667104,0.00009497721,0.0006630917],"category_scores_gemma":[0.008429529,0.0001057694,0.00008868601,0.0005812864,0.00006285819,0.0008269981,0.000007421845,0.0001564543,0.00001412521],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000686915,"about_ca_system_score_gemma":0.006253464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000808625,"about_ca_topic_score_gemma":0.002745016,"domain_scores_codex":[0.9948285,0.0004362314,0.0009123235,0.0002340985,0.003322633,0.0002662792],"domain_scores_gemma":[0.9872529,0.0002450633,0.0008133459,0.0002446777,0.01106791,0.0003761335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002704436,0.00003353739,0.03713049,0.000006142117,0.00001373929,1.655958e-7,0.0009971255,0.0007442045,0.00002842506,0.0005381284,0.0007533393,0.9597276],"study_design_scores_gemma":[0.002131611,0.00117575,0.3358462,0.0005142589,0.0003875055,0.00009914981,0.004850159,0.4921623,0.0001266373,0.06531086,0.09708182,0.0003137914],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803695,0.001829847,0.009521586,0.002334477,0.001494984,0.002759277,0.00000222294,0.000007981344,0.0016801],"genre_scores_gemma":[0.9827579,0.00005707965,0.01618821,0.0001694272,0.0003661868,0.0003819697,0.000008888714,0.00001049157,0.00005984405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9594139,"threshold_uncertainty_score":0.9999229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4439352464038152,"score_gpt":0.5410512913199274,"score_spread":0.0971160449161122,"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."}}