{"id":"W1993131779","doi":"10.4028/www.scientific.net/msf.715-716.800","title":"3D Phase Field Simulation of Austenite Grain Growth in Microalloyed Linepipe Steel","year":2012,"lang":"en","type":"article","venue":"Materials science forum","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Austenite; Grain growth; Metallurgy; Microalloyed steel; Grain boundary; Pinning force; Dissolution; Phase (matter); Zener pinning; Phase field models; Grain size; Microstructure; Condensed matter physics; Critical current","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000243405,0.0003985948,0.0004427299,0.0003470198,0.0004942274,0.0006778725,0.000733998,0.001415439,0.002576989],"category_scores_gemma":[0.0007264041,0.0004580973,0.0005069245,0.0004130309,0.000566096,0.0003209937,0.0003234387,0.0004571279,0.000210563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051503,"about_ca_system_score_gemma":0.001041008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373939,"about_ca_topic_score_gemma":0.01675249,"domain_scores_codex":[0.9999169,0.00001990457,0.000003684314,0.00001133596,0.00002724009,0.00002080674],"domain_scores_gemma":[0.9996548,0.0001965871,0.00003680615,0.0000189359,0.00005474615,0.00003815706],"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":[0.00003241366,0.00002528918,0.0007005723,0.00001347173,0.000005551573,0.00005707697,0.00002814741,0.9962048,0.001650868,0.0005644091,0.00008236559,0.0006350471],"study_design_scores_gemma":[0.00001523204,0.00001233813,0.0003372771,0.000001745762,0.000001355217,0.000007567523,0.00001039429,0.9989995,0.0003430826,0.0001389612,0.0001289451,0.00000358119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549686,0.0001388853,0.02967449,0.0002663222,0.00003196371,0.0001068976,0.001110581,0.0003569709,0.01334527],"genre_scores_gemma":[0.9893838,0.00008966758,0.008178603,0.00003807548,0.000005077796,0.00008518338,0.0003088454,0.00004989101,0.00186092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02373939,"threshold_uncertainty_score":0.04720241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273678202014799,"score_gpt":0.2542956969774151,"score_spread":0.2415589149572671,"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."}}