{"id":"W1475261338","doi":"","title":"Manager Preferences Modelling for Stochastic Aggregate Planning","year":2011,"lang":"en","type":"article","venue":"Silesian Digital Library (Silesian Library)","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Aggregate (composite); Computer science; Aggregate planning; Production planning; Microeconomics; Economics","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":[0.002116061,0.000905529,0.0007969217,0.0005732371,0.0003692348,0.001659003,0.001197742,0.001134387,0.002697029],"category_scores_gemma":[0.004173346,0.0005678938,0.0009104459,0.001006218,0.0006822103,0.001430055,0.000969382,0.001395835,0.0003875175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336286,"about_ca_system_score_gemma":0.001261063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004613952,"about_ca_topic_score_gemma":0.004441005,"domain_scores_codex":[0.9982523,0.001044422,0.00005910185,0.0001777182,0.0003165587,0.0001497784],"domain_scores_gemma":[0.9983734,0.001059797,0.0002587347,0.00006027473,0.0001515416,0.0000962787],"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":[0.00005909553,0.00003450261,0.0006015443,0.00006529324,0.00004850202,0.0001779071,0.0001907758,0.8405564,0.0006061171,0.1479177,0.000769333,0.008972759],"study_design_scores_gemma":[0.000007726461,0.00002060802,0.00009132906,0.000005994211,0.000009671376,0.00001830906,0.00002357347,0.9728589,0.00009525745,0.02605298,0.0008091916,0.000006410851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01675544,0.0002295609,0.976764,0.000352959,0.00002782386,0.00003961366,0.0001228049,0.00009652663,0.005611298],"genre_scores_gemma":[0.8214709,0.0007012311,0.1693404,0.0001593491,0.00009748826,0.0003620056,0.0002199066,0.00007847796,0.007570148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004613952,"threshold_uncertainty_score":0.01119089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118836438388797,"score_gpt":0.1929254622833673,"score_spread":0.1617370978994793,"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."}}