{"id":"W1981790327","doi":"10.1002/aic.690461011","title":"Product transfer between plants using historical process data","year":2000,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Product (mathematics); Process (computing); Range (aeronautics); Production (economics); Variable (mathematics); Computer science; Process engineering; Mathematics; 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":[0.00157928,0.0005220342,0.0005020511,0.001222133,0.0002946668,0.001115883,0.0008981177,0.0007821982,0.001723213],"category_scores_gemma":[0.007701836,0.000394009,0.0004711283,0.001437562,0.0004689528,0.00209732,0.0005152252,0.0008358298,0.0004629576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191444,"about_ca_system_score_gemma":0.0004811626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01052216,"about_ca_topic_score_gemma":0.00580347,"domain_scores_codex":[0.999175,0.0002127621,0.00005253274,0.0003075387,0.0001962246,0.00005601176],"domain_scores_gemma":[0.9966085,0.00156184,0.000614264,0.0006038935,0.0005118623,0.00009980331],"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":[0.0004455033,0.0002802497,0.04938314,0.00008494848,0.00009344618,0.000239455,0.000153614,0.8584229,0.003034516,0.002452534,0.0007594271,0.0846503],"study_design_scores_gemma":[0.00002157039,0.0001486542,0.01471027,0.000008776276,0.0000276876,0.00003088224,0.00004732164,0.9778968,0.003601981,0.002841706,0.0006366843,0.00002761872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7872183,0.0002414287,0.2078376,0.0002745104,0.00005060935,0.00008834419,0.001261561,0.0008278806,0.002199923],"genre_scores_gemma":[0.988922,0.00005310675,0.009763971,0.000007492985,0.00001070711,0.00002295214,0.0006842213,0.00001337574,0.0005221144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01052216,"threshold_uncertainty_score":0.02092183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04920363482197118,"score_gpt":0.2686705354569834,"score_spread":0.2194669006350123,"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."}}