{"id":"W2297558499","doi":"","title":"Designing an advanced available-to-promise mechanism compatible with the make-to-forecast production systems through integrating inventory allocation and job shop scheduling with due dates and weighte","year":2016,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Job shop; Scheduling (production processes); Production (economics); Computer science; Job shop scheduling; Operations research; Operations management; Flow shop scheduling; Manufacturing engineering; Industrial engineering; Engineering; Economics; Microeconomics; Schedule","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000377621,0.0001874059,0.0001998817,0.0002852938,0.0001115026,0.0002141924,0.0001904318,0.00005976713,0.000003552944],"category_scores_gemma":[0.0001782211,0.0001190622,0.00001824077,0.0002765785,0.00002545713,0.0005621181,0.00002806914,0.0002417512,0.000002013147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301524,"about_ca_system_score_gemma":0.00006885346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001263358,"about_ca_topic_score_gemma":0.00001152776,"domain_scores_codex":[0.9989011,0.00003961258,0.0003782963,0.0001837601,0.0003384902,0.0001586856],"domain_scores_gemma":[0.9989029,0.0001533339,0.0001522839,0.000101685,0.0005536426,0.0001361728],"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":[0.00006967935,0.00001169792,0.0001281903,0.000009300253,0.0001347294,0.000006083664,0.0008212412,0.9881563,0.005685074,0.0008958022,0.00002648013,0.004055463],"study_design_scores_gemma":[0.001413997,0.0003128476,0.00007235345,0.001406,0.00005006777,0.0003316544,0.001055266,0.9895742,0.005322098,0.00004031467,0.0001609656,0.0002602388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.368037,0.00006685538,0.6302381,0.0006785975,0.0006820915,0.0002130501,0.00000476344,0.0000665941,0.00001289579],"genre_scores_gemma":[0.7865836,0.0000199622,0.2128145,0.00002052484,0.0004768489,0.0000221057,0.000005903335,0.00003666189,0.00001992457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4185466,"threshold_uncertainty_score":0.4855214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773536955596477,"score_gpt":0.2372048566610268,"score_spread":0.209469487105062,"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."}}