{"id":"W2133454133","doi":"10.1177/0037549702078005562","title":"A Simulation-based Method for the Process to Allow Continuous Tracking of Quality, Cost, and Time","year":2002,"lang":"en","type":"article","venue":"SIMULATION","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quality (philosophy); Computer science; Process (computing); Factory (object-oriented programming); Identification (biology); Product (mathematics); Process engineering; Reliability engineering; Quality costs; Productivity; Manufacturing engineering; Engineering; Operations management; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009972251,0.001045881,0.00105475,0.0007050292,0.0005994487,0.0009568193,0.001464197,0.0009997216,0.005692213],"category_scores_gemma":[0.001956042,0.0005844396,0.001050095,0.000801199,0.0006801562,0.0007417123,0.0007689975,0.001805026,0.001063235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009787668,"about_ca_system_score_gemma":0.002478269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008132917,"about_ca_topic_score_gemma":0.006292487,"domain_scores_codex":[0.9995326,0.0001868062,0.0000259845,0.00006109564,0.0001644992,0.00002897169],"domain_scores_gemma":[0.999388,0.0003232093,0.00005030493,0.00006838723,0.0001421663,0.00002795038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003082366,0.00005038299,0.0003115012,0.0001194175,0.00006537876,0.00005404872,0.0000663418,0.9254364,0.004284501,0.03883276,0.001374054,0.02937439],"study_design_scores_gemma":[0.00001314756,0.00001550104,0.00003303856,0.00001225411,0.00001196623,0.00001916549,0.000003404227,0.9913985,0.0006740357,0.002708387,0.005102756,0.000007882485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007481354,0.0000498387,0.9973775,0.000041329,0.00003714738,0.00007511644,0.00004193898,0.000334606,0.001294353],"genre_scores_gemma":[0.07590061,0.000339948,0.9183925,0.00006848593,0.000048355,0.001129617,0.0002257654,0.0002282625,0.003666473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008132917,"threshold_uncertainty_score":0.01904237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764160019513127,"score_gpt":0.328093188992601,"score_spread":0.2904515887974697,"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."}}