{"id":"W2018770839","doi":"10.1016/j.apm.2012.10.009","title":"Joint effect of stock threshold level and production policy on an unreliable production environment","year":2012,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Stock (firearms); Computer science; Production rate; Production (economics); Mathematical optimization; Failure rate; Variable (mathematics); Industrial production; Operations research; Reliability engineering; Econometrics; Industrial engineering; Economics; Mathematics; Engineering; Microeconomics; Mechanical engineering","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":[0.004429112,0.0007766126,0.001555043,0.0008249879,0.0005884728,0.003075716,0.0009563458,0.001839937,0.004626085],"category_scores_gemma":[0.02105617,0.0008090976,0.0008303069,0.0008723888,0.002535817,0.002091688,0.001363327,0.001763299,0.0002786822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708475,"about_ca_system_score_gemma":0.001517728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01258641,"about_ca_topic_score_gemma":0.006254087,"domain_scores_codex":[0.998678,0.0005045506,0.00005674276,0.0001363597,0.000102763,0.000521534],"domain_scores_gemma":[0.9602433,0.03336212,0.002818362,0.0008074064,0.001484863,0.001283848],"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":[0.002318593,0.0002849571,0.007336955,0.00012351,0.0001036362,0.001181465,0.0001097106,0.9658928,0.006327611,0.01239237,0.001055915,0.002872504],"study_design_scores_gemma":[0.0001393767,0.0005377072,0.01039869,0.00002539652,0.0002657109,0.0001328679,0.0004807781,0.970382,0.003878423,0.01343694,0.0002307444,0.00009144174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811985,0.0001934075,0.01381973,0.0007106347,0.00005667076,0.00002646542,0.000262701,0.00017793,0.003554008],"genre_scores_gemma":[0.9989572,0.00005790287,0.0003142604,0.00001852658,0.000007065513,0.000004209609,0.00002592391,0.00001836234,0.0005965725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01258641,"threshold_uncertainty_score":0.02502632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06808162435062452,"score_gpt":0.243621784920726,"score_spread":0.1755401605701015,"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."}}