{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05790224,0.002091869,0.001284079,0.003855409,0.002380489,0.01024382,0.003830232,0.003817135,0.006737927],"category_scores_gemma":[0.08026806,0.0006643988,0.001512338,0.004338067,0.006327971,0.01546131,0.004928042,0.006229623,0.00123265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00787459,"about_ca_system_score_gemma":0.01845445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0149296,"about_ca_topic_score_gemma":0.01094337,"domain_scores_codex":[0.9658653,0.02662954,0.001197675,0.001145604,0.004470733,0.0006910809],"domain_scores_gemma":[0.8944938,0.08503431,0.001375803,0.004416412,0.01294953,0.001730203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001115966,0.0004310137,0.002350546,0.004690605,0.00008348911,0.0001491059,0.004319306,0.007314324,0.0003942028,0.1656348,0.01637015,0.7981509],"study_design_scores_gemma":[0.0002117106,0.0006913652,0.00425074,0.0228016,0.0001515588,0.0004580378,0.01322542,0.03417471,0.004150381,0.6690505,0.2506117,0.0002223676],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01880953,0.08444501,0.5814845,0.2308049,0.00345205,0.001511861,0.0002692577,0.001716179,0.07750673],"genre_scores_gemma":[0.2167556,0.07737174,0.6877426,0.009848426,0.001446801,0.001535264,0.0002763631,0.0004532787,0.004569942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05790224,"threshold_uncertainty_score":0.3062199,"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."}}