{"id":"W3124754998","doi":"10.2139/ssrn.3677084","title":"Financial Returns to Household Inventory Management","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Finance; Inventory management; Economics; Operations management","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":[0.001072924,0.0002600825,0.0002985932,0.001190552,0.0003444044,0.00226628,0.0003382457,0.000683265,0.0190638],"category_scores_gemma":[0.009150921,0.0001516052,0.0003105915,0.001464179,0.0004004408,0.001524011,0.0007349464,0.0008326779,0.002007522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170677,"about_ca_system_score_gemma":0.0008946907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006439469,"about_ca_topic_score_gemma":0.006858199,"domain_scores_codex":[0.9995043,0.000149394,0.00002360021,0.00003062459,0.00009722956,0.0001948021],"domain_scores_gemma":[0.9943389,0.002782984,0.001181883,0.0003048407,0.0006503888,0.0007409604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004389237,0.001761513,0.4797362,0.0003492737,0.0002766444,0.001271168,0.001440365,0.05120902,0.002054625,0.1090593,0.02988225,0.3185705],"study_design_scores_gemma":[0.0001100614,0.001044606,0.7974368,0.0002798317,0.0003029941,0.0005237116,0.007401689,0.04245221,0.002696284,0.1090275,0.03864628,0.00007802933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8967982,0.003144196,0.001700538,0.003063928,0.00008326417,0.00003832057,0.001598973,0.0001264194,0.09344623],"genre_scores_gemma":[0.9857478,0.0006861234,0.0001521495,0.00006123786,0.0000626578,0.000006118903,0.0003810813,0.000008821327,0.01289401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0190638,"threshold_uncertainty_score":0.06377476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594622716756628,"score_gpt":0.2047021730779776,"score_spread":0.1887559459104114,"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."}}