{"id":"W3131822431","doi":"10.3390/su13052460","title":"Spare Parts Inventory Management: A Literature Review","year":2021,"lang":"en","type":"review","venue":"Sustainability","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Spare part; Analytics; Supply chain; Inventory theory; Materials management; Computer science; Operations management; Supply chain management; Product (mathematics); Business; Operations research; Data science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005782437,0.0004899007,0.002195009,0.0002783614,0.0002206993,0.0004120621,0.001770968,0.0003142779,0.0004988704],"category_scores_gemma":[0.007609123,0.0003387675,0.001298415,0.003946638,0.0001779183,0.0001588602,0.001060066,0.0006385838,0.0001061966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007579546,"about_ca_system_score_gemma":0.0007059798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000391602,"about_ca_topic_score_gemma":0.000003594688,"domain_scores_codex":[0.9940805,0.001037003,0.001842957,0.001481074,0.001090229,0.0004682828],"domain_scores_gemma":[0.9927315,0.0005290587,0.0008401762,0.003663282,0.002040488,0.0001955518],"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":[3.022056e-7,0.00004952153,0.000003905493,0.07371633,0.00002100578,0.00008940169,0.00002316314,1.316126e-7,5.070991e-11,0.01781013,0.122726,0.7855601],"study_design_scores_gemma":[0.00002023537,0.00001032398,0.000001433766,0.06319784,0.0002542446,0.00003922038,0.00004808563,0.00000185191,1.099751e-8,0.05341934,0.8827333,0.0002741148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.710352e-8,0.9904323,0.0003385158,0.0008028317,0.0001226786,0.003039166,0.00008210429,0.0001633152,0.005018987],"genre_scores_gemma":[0.000001203666,0.9869326,0.001042702,0.0002443507,0.0001013685,0.001399624,0.0002347176,0.00003453968,0.01000885],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.785286,"threshold_uncertainty_score":0.9999064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1548857301018204,"score_gpt":0.4829715625437843,"score_spread":0.3280858324419638,"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."}}