{"id":"W2915537054","doi":"10.1007/s11837-019-03402-1","title":"Nonisothermal Reduction Kinetics in the Fe-Cu-O System Using H2","year":2019,"lang":"en","type":"article","venue":"JOM","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Thermogravimetric analysis; Reduction (mathematics); Kinetics; Materials science; Redox; Activation energy; Chemistry; Analytical Chemistry (journal); Thermodynamics; Metallurgy; Physical chemistry; Mathematics","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":[0.00009642147,0.00007075863,0.00009002083,0.00002607083,0.00001488716,0.00002792342,0.00009931243,0.00005070656,0.00003905871],"category_scores_gemma":[0.000002016729,0.00004879103,0.00002862846,0.0001179911,0.000007352969,0.00004960457,0.000008986706,0.0001019732,0.00006668961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005478673,"about_ca_system_score_gemma":0.00000391228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002255404,"about_ca_topic_score_gemma":0.000003803375,"domain_scores_codex":[0.9995796,0.00001599693,0.0001188,0.00007272259,0.00009387487,0.000118996],"domain_scores_gemma":[0.9998018,0.00001336672,0.00001765972,0.0001431775,0.000009207819,0.00001482258],"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":[0.00001449855,0.00004944329,0.0001045276,0.0006660115,0.00003302401,0.00001442055,0.0007703345,0.8671222,0.1161955,0.01263069,0.00002644111,0.002372878],"study_design_scores_gemma":[0.000136261,0.00001253294,0.0006565389,0.00003816544,0.000007423576,0.00003354023,0.0002781732,0.9972276,0.0001249097,0.00008246818,0.001320686,0.00008169185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785014,0.0001331663,0.005846643,0.00001938826,0.0004220818,0.000115253,0.000001167773,0.00006113895,0.01489977],"genre_scores_gemma":[0.9995516,0.000008277309,0.0002240764,0.00001079829,0.0001100208,0.000002568876,0.000001680145,0.00001763136,0.00007337123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1301054,"threshold_uncertainty_score":0.198964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101484214221005,"score_gpt":0.2027834929648562,"score_spread":0.1926350715427557,"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."}}