{"id":"W4413929950","doi":"10.1016/j.mfglet.2025.06.011","title":"Balancing trade-offs between first three moments of completion times for one-stage production","year":2025,"lang":"en","type":"article","venue":"Manufacturing Letters","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Production (economics); Stage (stratigraphy); Completion (oil and gas wells); Computer science; Operations management; Economics; Engineering; Geology; Mechanical engineering; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002926373,0.0009031382,0.001214041,0.001097678,0.0006211196,0.001442209,0.001170226,0.0008824482,0.001182509],"category_scores_gemma":[0.008304367,0.0006057382,0.0007403811,0.001018845,0.0006285752,0.001278419,0.0008007136,0.001221433,0.0001800979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00183789,"about_ca_system_score_gemma":0.002521614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578024,"about_ca_topic_score_gemma":0.002713931,"domain_scores_codex":[0.9984876,0.0004475891,0.00008584889,0.0002853735,0.0003830307,0.0003105899],"domain_scores_gemma":[0.9934443,0.003826744,0.001274002,0.000411413,0.0004694365,0.0005740133],"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":[0.0003620379,0.0001653818,0.002407074,0.0001153136,0.00006695738,0.0001061556,0.0001200038,0.936779,0.007941276,0.005965968,0.0006235405,0.04534718],"study_design_scores_gemma":[0.00005087006,0.000418014,0.003413447,0.00002541286,0.00003645445,0.0001166882,0.000120904,0.9770123,0.004894887,0.01313229,0.0007405282,0.00003828553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3755254,0.0008432147,0.6178722,0.0004853229,0.0000651966,0.0002497535,0.0001517819,0.0004268113,0.004380398],"genre_scores_gemma":[0.9375961,0.0001821163,0.06125221,0.00009512916,0.00002291319,0.00008521657,0.00008574744,0.00006845509,0.0006121362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002926373,"threshold_uncertainty_score":0.01547635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702720939696526,"score_gpt":0.2236625391296156,"score_spread":0.2066353297326504,"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."}}