{"id":"W1972191733","doi":"10.1088/0965-0393/10/4/304","title":"Mathematical modelling of magnesium reduction in a novel vertical Pidgeon process","year":2002,"lang":"en","type":"article","venue":"Modelling and Simulation in Materials Science and Engineering","topic":"Magnesium Oxide Properties and Applications","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retort; Magnesium; Reduction (mathematics); Materials science; Process (computing); Volume (thermodynamics); Heat transfer; Mechanics; Metallurgy; Thermodynamics; Mathematics; Physics; Computer science; Engineering; Geometry; Waste management","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":[0.0002295227,0.0004166984,0.0005797078,0.0003273832,0.0004181907,0.0007172594,0.000940986,0.001196043,0.001875467],"category_scores_gemma":[0.0004508581,0.000342573,0.0006128019,0.0003003602,0.0005555958,0.0007582837,0.0003774743,0.0005051654,0.0003097476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007502443,"about_ca_system_score_gemma":0.0009906669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005839454,"about_ca_topic_score_gemma":0.002913315,"domain_scores_codex":[0.9998864,0.00001781102,0.000005831186,0.00002386062,0.00004845945,0.00001753691],"domain_scores_gemma":[0.9998853,0.00005577563,0.00002264548,0.000007268968,0.00002320956,0.000005680309],"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":[0.00002097141,0.00001514701,0.0001968009,0.00004581349,0.000005970406,0.00008710487,0.00004315027,0.9800857,0.006663825,0.01053298,0.0001248764,0.002177726],"study_design_scores_gemma":[0.000007340343,0.00001550771,0.00007124923,0.000002540864,0.00000306746,0.00001744648,0.000005087146,0.9973443,0.0009173715,0.0008801347,0.0007319446,0.000003957206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1587668,0.0006615954,0.8098199,0.0005479219,0.0001013096,0.0001768616,0.0003935307,0.0004270192,0.02910522],"genre_scores_gemma":[0.9163576,0.0007802204,0.06109879,0.00008346204,0.0000233021,0.0003715965,0.0002188643,0.00006884301,0.0209974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005839454,"threshold_uncertainty_score":0.01161098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640160823646631,"score_gpt":0.2418051410164916,"score_spread":0.1954035327800253,"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."}}