{"id":"W2053976969","doi":"10.1016/j.commatsci.2010.11.008","title":"Numerical modeling and simulation of a diffusion-controlled liquid–solid phase change in polycrystalline solids","year":2010,"lang":"en","type":"article","venue":"Computational Materials Science","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Grain boundary; Crystallite; Thermal diffusivity; Diffusion; Superalloy; Grain boundary diffusion coefficient; Phase (matter); Effective diffusion coefficient; Thermodynamics; Casting; Finite element method; Mechanics; Metallurgy; Microstructure; Chemistry; Physics","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":[0.0002314239,0.0002871052,0.000602796,0.0002985844,0.0006261184,0.001022273,0.0009691557,0.001421753,0.001759078],"category_scores_gemma":[0.00129215,0.0004413596,0.0003744533,0.0005292174,0.001119856,0.0006927163,0.0004288482,0.0007895413,0.00014826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158547,"about_ca_system_score_gemma":0.001324175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424125,"about_ca_topic_score_gemma":0.00760026,"domain_scores_codex":[0.9998839,0.00002398101,0.000006870308,0.00001920374,0.00004429093,0.00002171091],"domain_scores_gemma":[0.9993425,0.0004367475,0.00006411546,0.00004142915,0.00007006872,0.00004516674],"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":[0.0000342413,0.00004761026,0.0003323356,0.0000241295,0.000006991026,0.00004832488,0.00002484356,0.9908515,0.002695545,0.004675052,0.0001289598,0.001130552],"study_design_scores_gemma":[0.000008718222,0.000004750084,0.00005872996,6.640952e-7,9.437661e-7,0.0000027923,0.000003755351,0.9991457,0.0004491182,0.0002452446,0.00007805017,0.000001525904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8965713,0.0005360133,0.08077413,0.001186438,0.0001208312,0.00007705529,0.00039386,0.0002755837,0.02006469],"genre_scores_gemma":[0.9826103,0.000141913,0.01454269,0.00005681035,0.00002012432,0.00006747503,0.0001413793,0.00004649939,0.002372676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01424125,"threshold_uncertainty_score":0.02831674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169213269643222,"score_gpt":0.3412439079569305,"score_spread":0.3095517752604983,"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."}}