{"id":"W2018209515","doi":"10.3139/146.110308","title":"Phase field simulation of austenite grain growth in the HAZ of microalloyed linepipe steel","year":2010,"lang":"en","type":"article","venue":"International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde)","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Grain growth; Austenite; Metallurgy; Grain boundary; Microalloyed steel; Pinning force; Dissolution; Zener pinning; Phase (matter); Temperature gradient; Phase field models; Welding; Grain size; Microstructure; Condensed matter physics","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":[0.0001947368,0.0003658637,0.0003140371,0.0002590849,0.0003335766,0.0003648016,0.0005171068,0.0008139982,0.00197158],"category_scores_gemma":[0.0004291921,0.0002743879,0.0003526749,0.0002290083,0.0003560822,0.0002291169,0.0001935035,0.0003276224,0.0001360169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007788612,"about_ca_system_score_gemma":0.0006627985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0200486,"about_ca_topic_score_gemma":0.01131604,"domain_scores_codex":[0.9999518,0.00001189196,0.000001454365,0.000007315199,0.00001261749,0.00001488772],"domain_scores_gemma":[0.9997484,0.0001422862,0.00002624626,0.00001272262,0.0000477378,0.00002256854],"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":[0.00007195639,0.00004180453,0.001182886,0.00001629061,0.00000725587,0.00007120379,0.00002443852,0.9931055,0.004281372,0.0003721718,0.00006460287,0.0007605669],"study_design_scores_gemma":[0.00001923455,0.00003768234,0.0004876973,0.000001349629,0.000001652368,0.000005027853,0.00001059278,0.9984223,0.0008587218,0.00006786871,0.00008558994,0.000002321199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890624,0.00004471764,0.006642656,0.00005408471,0.000008274573,0.00004196532,0.0002385503,0.0001068316,0.003800528],"genre_scores_gemma":[0.9966999,0.00002497816,0.002242133,0.000007491248,0.000001582829,0.00002246953,0.00009759788,0.00001521075,0.0008887071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0200486,"threshold_uncertainty_score":0.03986382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466981295993669,"score_gpt":0.3491400426908087,"score_spread":0.314470229730872,"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."}}