{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001382108,0.0001631755,0.0002508158,0.0004019916,0.0001017328,0.0002220594,0.000137163,0.00006716955,0.0000140496],"category_scores_gemma":[0.0001765925,0.0001499236,0.00003934265,0.0002637402,0.00002264276,0.0005325385,0.0001675101,0.0001961087,0.000004106516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003187588,"about_ca_system_score_gemma":0.000006795833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003189758,"about_ca_topic_score_gemma":0.000005316919,"domain_scores_codex":[0.9989045,0.00001464101,0.0004672592,0.0001512263,0.0002563428,0.000206007],"domain_scores_gemma":[0.9994597,0.00005239192,0.0002512407,0.0001160827,0.00008852492,0.00003199228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002583195,0.0001303764,0.00626831,0.001321035,0.0004250599,0.00006123498,0.0002105005,0.04306447,0.0001385407,0.1475382,0.01045886,0.7901251],"study_design_scores_gemma":[0.006117464,0.0001848567,0.03055109,0.00110465,0.0004089314,0.00003207997,0.0006563788,0.1310206,0.00003673087,0.0008037663,0.8284079,0.0006755329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6431923,0.0005795825,0.3298797,0.01008576,0.004441132,0.001435325,0.000005912805,0.0002249199,0.01015536],"genre_scores_gemma":[0.9965689,0.0001076428,0.001111324,0.0004324274,0.001531512,0.000005577259,0.000003927941,0.00001962268,0.0002190847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8179491,"threshold_uncertainty_score":0.6113709,"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."}}