{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002209664,0.0001525546,0.0001932099,0.0002619376,0.0001174552,0.00001247822,0.0001136091,0.0001468396,0.00006753206],"category_scores_gemma":[0.00005852946,0.0001650394,0.0000369761,0.0001620744,0.000105949,0.000696252,0.00009337223,0.0001665743,0.00003066664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000885251,"about_ca_system_score_gemma":0.00001535919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002887989,"about_ca_topic_score_gemma":0.0002353105,"domain_scores_codex":[0.9991723,0.00004607176,0.0001309269,0.0002460564,0.0001498,0.0002548659],"domain_scores_gemma":[0.9995281,0.00007724304,0.00005910863,0.0001890883,0.00005002762,0.00009648506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00150118,0.000410019,0.1333103,0.001001052,0.0004105943,0.0007978542,0.0109567,0.6438059,0.16391,0.008031654,0.0005705293,0.03529422],"study_design_scores_gemma":[0.008334265,0.0002465431,0.9044102,0.0006326037,0.000104223,0.00007569168,0.00191396,0.02937111,0.04804219,0.004031069,0.001423226,0.001414911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810754,0.0001357894,0.01782091,0.0001801326,0.0001077304,0.0001278977,0.00005335185,0.0001135348,0.0003852423],"genre_scores_gemma":[0.9952402,0.0002351099,0.004004148,0.00001317285,0.00002625147,5.288333e-7,0.00002800832,0.00002188569,0.000430705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7710999,"threshold_uncertainty_score":0.673011,"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."}}