{"id":"W4230615900","doi":"10.32920/ryerson.14652084","title":"Transportation modal choice for a hybrid inventory control problem","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Remanufacturing; Reverse logistics; Reuse; Supply chain; Control (management); Inventory control; Business; Modal; Computer science; Operations management; Operations research; Manufacturing engineering; Engineering; Marketing; Waste 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":[0.003330815,0.001648839,0.001568058,0.001362123,0.0009564406,0.00288438,0.002059126,0.003237306,0.009646827],"category_scores_gemma":[0.004195451,0.001161061,0.001522068,0.0009240021,0.001830296,0.002221239,0.00201978,0.002509386,0.0005696621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003586071,"about_ca_system_score_gemma":0.002294363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719899,"about_ca_topic_score_gemma":0.01091565,"domain_scores_codex":[0.9986732,0.0006499243,0.0000423273,0.0002482794,0.0001423003,0.0002439464],"domain_scores_gemma":[0.9971101,0.002220374,0.0002094185,0.00006579177,0.0002134322,0.0001809128],"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":[0.00006645421,0.00004031228,0.0002657836,0.00004944504,0.00003137722,0.00007095249,0.00003557123,0.9766788,0.000216705,0.02033185,0.0004462706,0.001766494],"study_design_scores_gemma":[0.000015591,0.00002375243,0.00004266276,0.000004626976,0.000005531541,0.000006040039,0.00001274727,0.9951295,0.00004296274,0.004500971,0.0002096667,0.000005980338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08653796,0.0005720982,0.8872238,0.001458307,0.0001243992,0.0002349991,0.0006958843,0.0002915321,0.02286091],"genre_scores_gemma":[0.9204235,0.0003382521,0.05796026,0.000216267,0.00007372163,0.0004757679,0.0003570423,0.00007911499,0.02007603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01719899,"threshold_uncertainty_score":0.03419775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461142305680858,"score_gpt":0.2258655628519662,"score_spread":0.2112541397951576,"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."}}