{"id":"W2617462355","doi":"10.1016/s1474-6670(17)36981-1","title":"Mass and heat flow observers and data reconciliation for iron ore induration furnaces","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Observer (physics); Process (computing); Process engineering; Software; Flow (mathematics); Computer science; Engineering; Mechanics; Physics","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":[0.003833572,0.0007504016,0.001481433,0.001288536,0.001238899,0.002253164,0.002022025,0.0009558754,0.001858948],"category_scores_gemma":[0.01036725,0.0005717787,0.0005728683,0.001280262,0.001151387,0.002760744,0.002026722,0.001775484,0.0004473022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009659841,"about_ca_system_score_gemma":0.001436852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004630492,"about_ca_topic_score_gemma":0.004297998,"domain_scores_codex":[0.9975736,0.0009318846,0.0002090729,0.0004800574,0.0005983157,0.000207098],"domain_scores_gemma":[0.9940556,0.001946586,0.0004704768,0.002214694,0.001179317,0.0001332728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005077421,0.0003556725,0.008469695,0.000169157,0.0001477385,0.0002478104,0.001069929,0.2085952,0.02594984,0.05648005,0.007332609,0.686105],"study_design_scores_gemma":[0.00007518357,0.00009922348,0.001306415,0.00001300956,0.00003042802,0.0000430794,0.00009088124,0.9467124,0.02657841,0.02241734,0.002602924,0.00003080406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04672198,0.0002001825,0.9463864,0.0001829371,0.00006654304,0.00006372354,0.0002053336,0.005326162,0.000846769],"genre_scores_gemma":[0.7673202,0.0001128345,0.2287563,0.00007773444,0.0000714234,0.00009939486,0.0007435933,0.0004230655,0.002395417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004630492,"threshold_uncertainty_score":0.02027416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223984092064729,"score_gpt":0.2293173859831089,"score_spread":0.206918976776636,"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."}}