{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001499061,0.000132591,0.0001462369,0.00002869648,0.00008614409,0.0001344917,0.0001181762,0.00009650943,0.000062876],"category_scores_gemma":[0.00004056822,0.000121853,0.00001441126,0.00007754473,0.00002921408,0.0007752596,0.0000225807,0.00008079356,0.000003673894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002436776,"about_ca_system_score_gemma":0.000006360414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001061754,"about_ca_topic_score_gemma":0.00001498876,"domain_scores_codex":[0.9993316,0.000001810634,0.0001646263,0.000249193,0.00009217208,0.0001606248],"domain_scores_gemma":[0.9997656,0.00002160697,0.00002067694,0.00008129413,0.00004469643,0.0000661723],"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":[0.0003081152,0.0000644128,0.007593975,0.004915337,0.0002648153,0.000002958756,0.003004207,0.01557233,0.02873732,0.002987415,0.003845891,0.9327032],"study_design_scores_gemma":[0.0003255722,0.00004135614,0.001406814,0.00003269118,0.00002864735,0.000005148678,0.0001330373,0.989148,0.0001305579,0.001507788,0.007076564,0.0001638875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944949,0.0009657199,0.002274126,0.0002064898,0.00007324496,0.0002463992,0.00004938113,0.0001426591,0.001547096],"genre_scores_gemma":[0.993401,0.001321443,0.004726798,0.0000296547,0.00009697887,0.00002009488,0.00008627852,0.00002510711,0.0002926827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9735756,"threshold_uncertainty_score":0.496902,"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."}}