{"id":"W2004120021","doi":"10.1007/s11661-014-2612-7","title":"Model Fe-Al Steel with Exceptional Resistance to High Temperature Coarsening. Part II: Experimental Validation and Applications","year":2014,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Essar Steel Algoma (Canada); McMaster University","funders":"","keywords":"Materials science; Metallurgy; Grain size; Grain growth; Nucleation; Ferrite (magnet); Austenite; Volume fraction; Grain boundary; Casting; Alloy; Slab; Grain boundary strengthening; Composite material; Microstructure; Thermodynamics","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":[0.0001148669,0.0001853298,0.0002520499,0.00004067906,0.0002585959,0.0001332981,0.00005934149,0.00008206181,0.0003120801],"category_scores_gemma":[0.000001611052,0.0001517331,0.00002747445,0.0001051604,0.00006663601,0.0001554276,0.00001003185,0.00008757601,0.000006989283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001563802,"about_ca_system_score_gemma":0.000006969395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005906108,"about_ca_topic_score_gemma":0.00001995501,"domain_scores_codex":[0.9991524,0.00002526162,0.0002205068,0.0002780149,0.0001497205,0.0001741596],"domain_scores_gemma":[0.999649,0.00002096924,0.00002489656,0.0001150521,0.00003297626,0.0001570706],"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":[0.0003144942,0.0002811717,2.608332e-7,0.0002624678,0.0001742864,0.000003440871,0.0002213516,0.3689773,0.5917156,0.03691828,0.00009955541,0.00103177],"study_design_scores_gemma":[0.005796563,0.0007907588,0.000440555,0.0003226993,0.0005958166,0.0002898592,0.0003118727,0.6175758,0.1799316,0.007579963,0.1834143,0.002950255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5645047,0.00006694027,0.4346381,0.0001427322,0.00005184119,0.0002113112,0.00006099976,0.00009973556,0.0002236615],"genre_scores_gemma":[0.9926057,0.00009476141,0.005962279,0.00008493989,0.00006864906,0.0003085272,0.00005520368,0.0000284177,0.0007915641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4286758,"threshold_uncertainty_score":0.6187497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008086044790617202,"score_gpt":0.2011073274627109,"score_spread":0.1930212826720937,"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."}}