{"id":"W1984742904","doi":"10.1109/acc.2014.6859144","title":"Distributed temperature estimation in Czochralski crystal growth process","year":2014,"lang":"en","type":"article","venue":"","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Thermal conduction; Observer (physics); Heat transfer; Parametric statistics; Convection; Galerkin method; Finite element method; Materials science; Crystal (programming language); Work (physics); Crystal growth; Mechanics; Thermodynamics; Mathematics; Computer science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001175706,0.0000966824,0.0001335742,0.00004955166,0.00003530267,0.00004314314,0.00008040421,0.00007681209,0.0001141917],"category_scores_gemma":[0.0002526509,0.00009052122,0.00003173241,0.0002041664,0.00002106319,0.000162698,0.000006497526,0.0001133423,0.00001514965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003922547,"about_ca_system_score_gemma":0.00001009562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002380385,"about_ca_topic_score_gemma":0.0002453127,"domain_scores_codex":[0.9994095,0.00002581278,0.000182406,0.000123265,0.0001105852,0.0001484202],"domain_scores_gemma":[0.999694,0.00007841397,0.00001030355,0.0001244893,0.0000504034,0.00004239316],"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":[0.0001124009,0.0007138998,0.03121956,0.001670967,0.000118513,0.000001945886,0.003090302,0.8231438,0.04665125,0.07115416,0.001063937,0.02105927],"study_design_scores_gemma":[0.0007489859,0.00002998179,0.04661207,0.00002524651,0.00000985879,7.643774e-7,0.0001171258,0.9231476,0.00403702,0.02503026,0.00003616792,0.0002048956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8774375,0.00001714456,0.1198239,0.0004315484,0.00008157179,0.0001784468,0.00001720603,0.0002892947,0.001723458],"genre_scores_gemma":[0.9994225,0.000001071395,0.0003872782,0.00002566551,0.00002395387,0.00003385059,0.00008356461,0.000008488126,0.00001363246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.121985,"threshold_uncertainty_score":0.3691348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004466672091460277,"score_gpt":0.2092221918132061,"score_spread":0.2047555197217459,"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."}}