{"id":"W4390399271","doi":"10.1016/j.compchemeng.2023.108566","title":"Integration of chemical process operation with energy, global market, and plant systems infrastructure","year":2023,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Deregulation; Process (computing); Function (biology); Energy market; Order (exchange); Process plant; Globalization; Key (lock); Process integration; Industrial organization; Business; Environmental economics; Risk analysis (engineering); Engineering; Computer science; Renewable energy; Manufacturing engineering; Process engineering; Economics; Computer security; Market economy; Finance; Electrical engineering","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":[0.0009256587,0.0005335817,0.0004383315,0.0008564754,0.0003685236,0.002707564,0.0006440897,0.0005564603,0.003755528],"category_scores_gemma":[0.001250652,0.0003889448,0.0005529312,0.001210191,0.000677487,0.003404312,0.00171964,0.001003882,0.0004795995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002100073,"about_ca_system_score_gemma":0.002622831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006178357,"about_ca_topic_score_gemma":0.009509604,"domain_scores_codex":[0.9993266,0.0001393071,0.00003107944,0.0001071041,0.0002750136,0.0001208419],"domain_scores_gemma":[0.9994628,0.0001230026,0.00008584345,0.00007404397,0.0002056673,0.00004874412],"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":[0.0002280271,0.0005230572,0.03058324,0.0002782077,0.0003541446,0.0004608154,0.0002142797,0.5135011,0.02786005,0.2704084,0.002824828,0.1527639],"study_design_scores_gemma":[0.00003887084,0.0003824162,0.04000564,0.00007499628,0.0002152984,0.0001858034,0.0005789651,0.8152362,0.01604618,0.0969428,0.03022068,0.00007202657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5097174,0.001514136,0.2948067,0.004068261,0.0002139118,0.0002151583,0.0005007596,0.000869883,0.1880938],"genre_scores_gemma":[0.979721,0.0005629377,0.01530721,0.00008777504,0.00005566884,0.00002766799,0.0001987007,0.00008811548,0.003950987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006178357,"threshold_uncertainty_score":0.01523709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003015177210927473,"score_gpt":0.1741826161795096,"score_spread":0.1711674389685822,"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."}}