{"id":"W2340788651","doi":"","title":"Due date Quotation and Delivery Schedule In Dual Channel Supply chain","year":2016,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Windsor","keywords":"Supply chain; Dual (grammatical number); Computer science; Channel (broadcasting); Schedule; Business; Telecommunications; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002857111,0.0009987353,0.001882258,0.001180186,0.001208383,0.002685735,0.00176747,0.001567449,0.006536998],"category_scores_gemma":[0.007540287,0.001073819,0.0007271369,0.00222457,0.00145498,0.002560376,0.001657906,0.001223587,0.0006664787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003406418,"about_ca_system_score_gemma":0.002193894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007180396,"about_ca_topic_score_gemma":0.003523418,"domain_scores_codex":[0.9976413,0.0006973415,0.0001350049,0.0006360071,0.000386632,0.0005037552],"domain_scores_gemma":[0.9956044,0.002371704,0.0008316697,0.0002151798,0.0005148652,0.0004622979],"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":[0.0004968439,0.00009132855,0.001534085,0.0002400807,0.00005673056,0.0004037075,0.0002460818,0.9290579,0.002009147,0.04586034,0.002169256,0.01783449],"study_design_scores_gemma":[0.00004231267,0.0001238312,0.0006114407,0.00001967793,0.0000202001,0.0000896342,0.0001499808,0.9683695,0.0007022796,0.02832636,0.001507702,0.00003716522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2052629,0.001362439,0.777235,0.001269527,0.0002490118,0.0003680224,0.0008954788,0.0002855358,0.01307204],"genre_scores_gemma":[0.9213921,0.0007415191,0.06614617,0.00009006643,0.0001202776,0.0002405449,0.0004426781,0.0000926423,0.01073409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007180396,"threshold_uncertainty_score":0.02471542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236281741608747,"score_gpt":0.1858935799362109,"score_spread":0.1735307625201235,"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."}}