{"id":"W2517356492","doi":"10.3138/cjpe.267","title":"Process Flow Mapping for Systems Improvement: Lessons Learned","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Computer science; Context (archaeology); Process management; Flow (mathematics); Risk analysis (engineering); Management science; Engineering; Business; Mathematics; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.01733374,0.0001205501,0.0002441643,0.0006358217,0.0002692112,0.0004390694,0.0004762207,0.00007775728,0.0005370318],"category_scores_gemma":[0.004066372,0.00007250821,0.000134007,0.0005095955,0.00006262938,0.0007833258,0.000007250048,0.00008944472,0.00005509933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004468641,"about_ca_system_score_gemma":0.005278585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009641836,"about_ca_topic_score_gemma":0.002513491,"domain_scores_codex":[0.9963102,0.0002498146,0.001003271,0.0002372763,0.001852317,0.0003470925],"domain_scores_gemma":[0.9930999,0.0003451296,0.0008954168,0.000260182,0.004966486,0.0004328437],"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":[0.00001499412,0.00001878475,0.002093642,0.000009823179,0.00002720272,9.10964e-7,0.0005844937,0.001768386,0.0003989629,0.000477027,0.002616518,0.9919893],"study_design_scores_gemma":[0.00726273,0.00238681,0.01562189,0.0005260301,0.0002156044,0.00006003752,0.008122462,0.4517606,0.001131783,0.06464644,0.4476783,0.0005873206],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6797559,0.002153855,0.2191912,0.07430854,0.00861209,0.01096918,0.0001721399,0.0000636096,0.004773519],"genre_scores_gemma":[0.9966109,0.00001219902,0.001957918,0.0001036819,0.0003407211,0.0003252775,0.000006668448,0.0000126014,0.0006299932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9914019,"threshold_uncertainty_score":0.9363983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5733614912876671,"score_gpt":0.5667968770536289,"score_spread":0.006564614234038202,"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."}}