{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002709009,0.0004591463,0.000353995,0.0003366298,0.0002889867,0.0003321895,0.0008471992,0.001014354,0.003283072],"category_scores_gemma":[0.0007648435,0.0001896829,0.0002519462,0.0002678105,0.0003112087,0.000309157,0.0002038238,0.0002014263,0.0007302545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000452717,"about_ca_system_score_gemma":0.0003828147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004977284,"about_ca_topic_score_gemma":0.007630549,"domain_scores_codex":[0.9998772,0.00001466974,0.000006785586,0.00003140817,0.0000548121,0.00001511963],"domain_scores_gemma":[0.9996862,0.0000608386,0.00003802494,0.00008817807,0.0001087933,0.00001792998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008230443,0.0004160129,0.004682911,0.0005088907,0.00006857561,0.0002377893,0.0001117732,0.5663269,0.4110857,0.001950673,0.001810545,0.01197733],"study_design_scores_gemma":[0.00008475487,0.0006938981,0.007395593,0.00001920936,0.00003768514,0.0000630525,0.00005943077,0.771137,0.216946,0.0004556245,0.003084439,0.00002328804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572428,0.0002190615,0.03128681,0.00008495044,0.00005795515,0.0001210656,0.0026131,0.0008744755,0.007499817],"genre_scores_gemma":[0.9909528,0.00005012659,0.006286783,0.000009318344,0.000001826687,0.0000449424,0.0007427954,0.00003619764,0.001875169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004977284,"threshold_uncertainty_score":0.01098299,"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."}}