{"id":"W1988857006","doi":"10.2355/isijinternational.53.1097","title":"A Mathematical Model for Carbothermic Reduction of Dust-Carbon Composite Agglomerates","year":2013,"lang":"en","type":"article","venue":"ISIJ International","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Agglomerate; Composite number; Reduction (mathematics); Carbon fibers; Materials science; Metallurgy; Composite material; Mathematics; Geometry","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":[0.00003151515,0.00006743908,0.00008660632,0.00005801491,0.00001062615,0.00001944917,0.00009462075,0.0000385175,0.00009334109],"category_scores_gemma":[0.00001145656,0.00006423764,0.00003550689,0.00003001441,0.00001858913,0.00008678926,0.000008632764,0.00004197579,0.00001204186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002865052,"about_ca_system_score_gemma":0.000007023178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000730985,"about_ca_topic_score_gemma":7.112423e-7,"domain_scores_codex":[0.9995859,0.000002502281,0.0001568841,0.00007054953,0.0001037043,0.0000804447],"domain_scores_gemma":[0.9997855,0.00002096371,0.00002697326,0.00005936903,0.0000893511,0.00001778452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005242829,0.0001957885,0.0003157016,0.0006719613,0.0003215989,8.747763e-7,0.002767705,0.4064417,0.4676701,0.1090367,0.003671241,0.008854195],"study_design_scores_gemma":[0.0001676719,0.000008448408,0.0001269143,0.00003649016,0.000006337684,0.000006320374,0.00002550193,0.9766007,0.01893391,0.003770874,0.0002486317,0.00006816864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8782985,0.000122857,0.0491101,0.0002903785,0.0005217376,0.0002920368,0.00002171072,0.0001740333,0.0711687],"genre_scores_gemma":[0.9934942,0.0000092265,0.003890894,0.00001348315,0.00007812828,0.00005492315,0.000008431259,0.00001695786,0.002433772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.570159,"threshold_uncertainty_score":0.2619535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435614451396648,"score_gpt":0.2419292129617683,"score_spread":0.2275730684478019,"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."}}