{"id":"W2099184181","doi":"10.3926/jiem.543","title":"Determining supply chain safety stock level and location","year":2014,"lang":"en","type":"article","venue":"Journal of Industrial Engineering and Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Safety stock; Supply chain; Stock (firearms); Minification; Supply chain management; Lean manufacturing; Operations research; Business; Computer science; Operations management; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007562757,0.0005933401,0.0003686121,0.001017869,0.0005010009,0.001299913,0.0006326748,0.0005559757,0.002549469],"category_scores_gemma":[0.002499073,0.0002888184,0.0004132743,0.001061995,0.0003778042,0.001395979,0.0006517352,0.0004076769,0.0004043583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096105,"about_ca_system_score_gemma":0.002003153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219737,"about_ca_topic_score_gemma":0.01015633,"domain_scores_codex":[0.9993735,0.00013924,0.0000347859,0.0001006686,0.0002816152,0.00007024446],"domain_scores_gemma":[0.9985328,0.0004772433,0.0003703713,0.00007949085,0.000486071,0.00005415813],"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":[0.0001070693,0.00007361889,0.02462555,0.0001313503,0.00003432541,0.0001690624,0.0001330951,0.9388366,0.006128356,0.003057471,0.0003970483,0.02630653],"study_design_scores_gemma":[0.00001155165,0.0001614535,0.007362692,0.00004483296,0.00003770036,0.00005965999,0.0002688441,0.9778553,0.0104566,0.002772763,0.0009391425,0.00002952896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6768054,0.000419551,0.3121542,0.0003694884,0.000021493,0.0001930272,0.0004938642,0.0003115936,0.009231487],"genre_scores_gemma":[0.9866474,0.0001161715,0.01215926,0.000009996603,0.000001859996,0.0000290126,0.0001756813,0.0000106613,0.0008500739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01219737,"threshold_uncertainty_score":0.02425277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03793534376489328,"score_gpt":0.2201771914332676,"score_spread":0.1822418476683743,"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."}}