{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004500186,0.0004974405,0.0003789858,0.0002154433,0.0004823789,0.0007388076,0.0006061494,0.0004543878,0.001172766],"category_scores_gemma":[0.0007838166,0.0002585521,0.0002431946,0.0001660508,0.0005500459,0.0005791964,0.0006478056,0.0005222564,0.0001119307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000836488,"about_ca_system_score_gemma":0.0008515501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007063478,"about_ca_topic_score_gemma":0.004951393,"domain_scores_codex":[0.9997978,0.0000628507,0.000006286679,0.00003686562,0.00004806038,0.00004823896],"domain_scores_gemma":[0.9995976,0.0002135146,0.00008671469,0.00002822825,0.00004398071,0.00002999676],"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":[0.0002965929,0.0001054989,0.001068284,0.00004448535,0.000009595426,0.0002255605,0.0000378458,0.9729534,0.01568647,0.001602821,0.0001211888,0.007848213],"study_design_scores_gemma":[0.00001984606,0.0002014043,0.0006669917,0.000002520277,0.000004255534,0.0000171052,0.00002900372,0.9922343,0.00623766,0.0004040832,0.0001760652,0.000006719271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935129,0.0002045154,0.0590727,0.000164389,0.00002107469,0.00005168982,0.00005918913,0.00008710683,0.005210348],"genre_scores_gemma":[0.9979214,0.000028585,0.001670961,0.000004254917,0.000001239923,0.000007549198,0.000007421478,0.000002720616,0.0003558975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007063478,"threshold_uncertainty_score":0.0140447,"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."}}