{"id":"W2606251771","doi":"10.1002/aic.15753","title":"Preemptive dynamic operation of cryogenic air separation units","year":2017,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Process Optimization and Integration","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process engineering; Process (computing); Separation (statistics); Agile software development; Supply chain; Product (mathematics); Supply and demand; Computer science; Industrial engineering; Manufacturing engineering; Engineering; Business; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001350751,0.00006998306,0.00008424118,0.00006242235,0.0001977553,0.00008533132,0.0001452087,0.00005711821,0.00008229719],"category_scores_gemma":[0.00009989938,0.00006319404,0.00002540326,0.00004764108,0.0000210563,0.0007896987,0.000009815185,0.0001450983,0.00001685213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005345912,"about_ca_system_score_gemma":0.00004850676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003145788,"about_ca_topic_score_gemma":0.00003376092,"domain_scores_codex":[0.9995468,0.00001626331,0.0001956347,0.00005008543,0.0001122529,0.00007896991],"domain_scores_gemma":[0.9994484,0.000007410492,0.0001205324,0.0001321115,0.0002531664,0.000038435],"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":[0.00003513933,0.00003430217,0.001125992,0.00004218999,0.0001170285,0.000002588974,0.001638038,0.9074264,0.06993886,0.0008858794,0.00411506,0.01463854],"study_design_scores_gemma":[0.0004460244,0.00007031397,0.01204259,0.00005029386,0.00002457722,0.00003416213,0.0001226172,0.9460551,0.03990912,0.0002956268,0.0008241984,0.0001253932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4886211,0.000460585,0.4930102,0.0003356147,0.0007782387,0.0001655825,0.00001030692,0.00008947263,0.0165289],"genre_scores_gemma":[0.9978833,0.0003018745,0.001299148,0.00002373516,0.00005956262,0.000002825357,0.00001260058,0.00001106221,0.0004059433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5092622,"threshold_uncertainty_score":0.2576978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390092555946325,"score_gpt":0.2832937271838078,"score_spread":0.2693928016243445,"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."}}