{"id":"W3150368262","doi":"10.1080/03155986.2021.1906057","title":"Tactical-operational coordination of a divergent production system with coproduction: the sawmilling challenge","year":2021,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Coproduction; Context (archaeology); Production (economics); Revenue; Order (exchange); Business; Production planning; Operational planning; Information system; Industrial organization; Operations research; Operations management; Computer science; Marketing; Economics; Engineering; Microeconomics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001450511,0.0005775702,0.0006784972,0.0003359849,0.0007734914,0.001914172,0.0007072985,0.0007254695,0.003505219],"category_scores_gemma":[0.002635982,0.0003702071,0.0006153724,0.0005120565,0.0009190654,0.001387723,0.001136774,0.001078162,0.0002326218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499202,"about_ca_system_score_gemma":0.002474481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0147592,"about_ca_topic_score_gemma":0.007069892,"domain_scores_codex":[0.9993386,0.0002855244,0.00002350789,0.0001051404,0.0001239758,0.0001232917],"domain_scores_gemma":[0.9982312,0.001078892,0.0002188877,0.0001390736,0.0001703248,0.0001616942],"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":[0.0001010765,0.0000526235,0.0009260827,0.00002092592,0.00001433355,0.0001582918,0.00007369604,0.9855643,0.0009348538,0.007939202,0.0001710591,0.004043426],"study_design_scores_gemma":[0.00003599888,0.0001124301,0.0006516998,0.000006231226,0.000008241291,0.00002351423,0.00009114194,0.9928641,0.0008610934,0.00462566,0.0007066859,0.00001318421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7515196,0.0001747385,0.2227146,0.0006054212,0.00004665721,0.000233309,0.0002246541,0.0002727986,0.02420802],"genre_scores_gemma":[0.9851224,0.00004317999,0.01309493,0.00002186401,0.000004467749,0.00006183597,0.00006857351,0.00001997041,0.001562883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0147592,"threshold_uncertainty_score":0.02934653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06376031062541015,"score_gpt":0.2869707435680334,"score_spread":0.2232104329426232,"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."}}