{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001217072,0.001075573,0.001250564,0.006997256,0.0004715797,0.001934791,0.001251028,0.001102469,0.00609134],"category_scores_gemma":[0.003457435,0.0004597746,0.001071444,0.01039921,0.0004775981,0.002239889,0.0007323505,0.0009047803,0.001432228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025579,"about_ca_system_score_gemma":0.004206176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00353383,"about_ca_topic_score_gemma":0.004625468,"domain_scores_codex":[0.9993337,0.0001159368,0.0001326019,0.0001105407,0.0002622356,0.00004505595],"domain_scores_gemma":[0.9966525,0.002144988,0.000369387,0.00006334751,0.000686783,0.00008291824],"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":[0.00006106323,0.0000974311,0.0007946496,0.08890728,0.0002056227,0.0002869696,0.0002584654,0.001418953,0.0007032783,0.005875038,0.03235475,0.8690366],"study_design_scores_gemma":[0.00001676978,0.0001391711,0.003684562,0.08068902,0.0009218998,0.00142367,0.000581446,0.000742195,0.0006766255,0.005283761,0.9057814,0.00005941426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003509322,0.9971154,0.0003621215,0.0004224264,0.0001322562,0.00001346271,0.00008563759,0.00001168893,0.001506186],"genre_scores_gemma":[0.001765788,0.9972639,0.0004312783,0.0001224386,0.000109018,0.000009683503,0.00007572217,0.000002391875,0.0002198514],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006997256,"threshold_uncertainty_score":0.02037752,"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."}}