{"id":"W2600541722","doi":"10.1007/s11663-017-0967-z","title":"Kinetics of Silicothermic Reduction of Manganese Oxide for Advanced High-Strength Steel Production","year":2017,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Silicon; Manganese; Oxide; Mass transfer; Silicon oxide; Materials science; Slag (welding); Metallurgy; Mass transfer coefficient; Silicon monoxide; Manganese oxide; Metal; Inorganic chemistry; Chemistry; Analytical Chemistry (journal); Chemical engineering; Environmental chemistry","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":[0.00010178,0.0001361529,0.0003611966,0.00004261554,0.000084004,0.00003299088,0.0001101908,0.0000888323,0.0001405666],"category_scores_gemma":[0.00001899957,0.0001192687,0.00007635554,0.00003839819,0.000132621,0.0001771622,0.000005569464,0.00004790679,9.999674e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008966734,"about_ca_system_score_gemma":0.000003205485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003866188,"about_ca_topic_score_gemma":0.00001496044,"domain_scores_codex":[0.9992269,0.00001518775,0.0003607387,0.0001727684,0.00009237658,0.0001320279],"domain_scores_gemma":[0.9994877,0.00001924543,0.0001341794,0.0002454895,0.00006586043,0.00004754014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001142875,0.0001043643,4.955977e-8,0.0006125395,0.00008028543,4.804168e-7,0.00002711786,0.03717512,0.9579192,0.0009453831,9.249738e-7,0.00302022],"study_design_scores_gemma":[0.0009922213,0.0001609872,0.0006968349,0.00008240655,0.0002272362,0.00003675736,0.00004875729,0.01517335,0.9798735,0.001561317,0.0009039259,0.0002426989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8134087,0.0001156709,0.1855048,0.00003735979,0.0004811816,0.0002516615,0.00006766249,0.00004369846,0.00008928935],"genre_scores_gemma":[0.9956261,0.0005858848,0.003310211,9.00593e-7,0.00004983423,0.00004734877,0.00001477364,0.00002560177,0.0003393439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1822174,"threshold_uncertainty_score":0.4863636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029616072291846,"score_gpt":0.2242277150399161,"score_spread":0.2139315543169976,"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."}}