{"id":"W1988393189","doi":"10.1115/imece2004-59279","title":"Function-Block Enabled Job Shop Planning and Control With Uncertainty","year":2004,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Job shop; Dynamism; Computer science; Fixture; Function (biology); Process (computing); Block (permutation group theory); Flow shop scheduling; Control (management); Industrial engineering; Operations research; Job shop scheduling; Engineering; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004616117,0.00009267584,0.0000944304,0.00004324903,0.00005746687,0.00004050219,0.00002895564,0.00004188682,0.00004441737],"category_scores_gemma":[0.000008071201,0.00007199196,0.0000113165,0.0001004007,0.00001539079,0.00006558992,0.000003546771,0.00008084576,0.00001087425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002445475,"about_ca_system_score_gemma":0.0000136028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001960929,"about_ca_topic_score_gemma":0.000009814608,"domain_scores_codex":[0.9996008,0.000003933917,0.00008486358,0.0001010418,0.0000749411,0.0001344525],"domain_scores_gemma":[0.9997931,0.00002604087,0.000008886485,0.00007601766,0.00003083893,0.00006518108],"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":[0.00002133142,0.000003578487,0.001697697,0.000007120795,0.00003435758,0.000003266771,0.00009368973,0.9975544,0.00005867871,0.0002480325,0.0000406057,0.0002372535],"study_design_scores_gemma":[0.004341368,0.0001016925,0.003384338,0.00004494387,0.00004270254,0.0000275167,0.0005089681,0.9903836,0.0004074179,0.0001480494,0.0003353583,0.0002740115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.192654,0.0003649979,0.7960327,0.0001637148,0.0001873203,0.0001334325,0.000001915213,0.0007430114,0.009718857],"genre_scores_gemma":[0.9796713,0.000006035633,0.01982624,0.0001538896,0.00006174688,0.000009234993,0.000003317652,0.00001737402,0.0002508466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7870173,"threshold_uncertainty_score":0.2935747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006094184681371979,"score_gpt":0.1910299090324438,"score_spread":0.1849357243510718,"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."}}