{"id":"W3186467491","doi":"10.21203/rs.3.rs-741517/v1","title":"Integrated Production and Maintenance Control Policies for Failure-prone Manufacturing Systems Producing Perishable Products","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Preventive maintenance; Corrective maintenance; Operations research; Control (management); Computer science; Robustness (evolution); Reliability engineering; Cost reduction; Minification; Reduction (mathematics); Production (economics); Operations management; Business; Engineering; Economics; Mathematics; Microeconomics","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":[0.002406904,0.000909662,0.0009264492,0.0007601344,0.0003019788,0.001096849,0.00103443,0.0008951302,0.0008609474],"category_scores_gemma":[0.004397797,0.0004129526,0.0004272335,0.0004938488,0.0007181232,0.0008155672,0.0008741706,0.000675526,0.0001027012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009442749,"about_ca_system_score_gemma":0.0007910053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003182275,"about_ca_topic_score_gemma":0.00124484,"domain_scores_codex":[0.9991317,0.0003115946,0.00005329596,0.0001565827,0.0001715706,0.0001753758],"domain_scores_gemma":[0.9969394,0.001547118,0.0009237727,0.0001477027,0.0002922615,0.0001497345],"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":[0.0001018536,0.00005152368,0.0004920188,0.00003040547,0.00001761107,0.00003472304,0.00002543846,0.9906375,0.001758457,0.0008689706,0.00007188904,0.005909561],"study_design_scores_gemma":[0.00001023884,0.00009732528,0.000482425,0.000003918279,0.00001074565,0.000009895381,0.000009517848,0.9979193,0.0008109745,0.0005950349,0.00004686091,0.000003850255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4187463,0.0006364298,0.578414,0.0002353907,0.00002591499,0.0001021552,0.00008316,0.0002169376,0.001539671],"genre_scores_gemma":[0.9940919,0.00006263437,0.005486018,0.000009953292,0.000005614361,0.00002379208,0.00002023495,0.000006768112,0.0002931422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003182275,"threshold_uncertainty_score":0.01272911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658475226615818,"score_gpt":0.2839324269043595,"score_spread":0.2573476746382014,"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."}}