{"id":"W2293579521","doi":"10.1109/hicss.2016.666","title":"Kaizen Cookbook: The Success Recipe for Continuous Learning and Improvements","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Kaizen; Recipe; Productivity; Process management; Computer science; Process (computing); Team software process; Software; Lean manufacturing; Customer satisfaction; Knowledge management; Manufacturing engineering; Engineering management; Engineering; Software development; Software development process; Operations management; Business; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003773804,0.00006328116,0.00006517101,0.00001922163,0.00009992499,0.0001227377,0.0003217946,0.00002623427,0.00001159415],"category_scores_gemma":[0.0001879953,0.00003073027,0.00001887403,0.00004453972,0.00001843819,0.0003142788,0.0001405784,0.00004653797,0.000003448466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008062361,"about_ca_system_score_gemma":0.000008391981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002377846,"about_ca_topic_score_gemma":0.000002201818,"domain_scores_codex":[0.9995276,0.00001960935,0.00008377799,0.0001599346,0.00007087566,0.0001381864],"domain_scores_gemma":[0.9989722,0.0007404434,0.000047892,0.0001707887,0.00003996069,0.00002875576],"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":[0.00001739294,0.00001388718,0.006003784,0.0000159426,0.00002997986,0.000001906861,0.000175773,0.000002580047,0.00365974,0.06227832,0.004771888,0.9230288],"study_design_scores_gemma":[0.001040641,0.0004702677,0.002766379,0.00005471848,0.00001273174,0.00002300562,0.00002038832,0.007216197,0.01248793,0.009655681,0.9659292,0.0003228257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005466631,0.00008440758,0.9904748,0.002300961,0.0001272187,0.0001923485,5.785098e-7,0.0003910728,0.0009619988],"genre_scores_gemma":[0.8164898,0.0001410917,0.1731641,0.0004323232,0.00008101712,0.0001073542,3.605686e-7,0.00001416588,0.009569739],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9611573,"threshold_uncertainty_score":0.1253144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104117911303616,"score_gpt":0.2640879002129462,"score_spread":0.2530467210999101,"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."}}