{"id":"W2746928895","doi":"10.3390/ma12244048","title":"Phase Field Modelling of Abnormal Grain Growth","year":2019,"lang":"en","type":"article","venue":"Materials","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grain boundary; Grain growth; Materials science; Abnormal grain growth; Crystallite; Grain boundary strengthening; Phase (matter); Grain size; Homogeneous; Chemical physics; Condensed matter physics; Crystallography; Microstructure; Metallurgy; Statistical physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003917659,0.00009842092,0.0002253996,0.00004881885,0.00003161613,0.00004998031,0.0002082911,0.00005192723,0.0065631],"category_scores_gemma":[0.00002883889,0.0000867641,0.00003213342,0.00007069255,0.00002613832,0.000151116,0.0000498109,0.00002483206,0.0006256886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001165231,"about_ca_system_score_gemma":0.00001836083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007177581,"about_ca_topic_score_gemma":2.803654e-7,"domain_scores_codex":[0.9990451,0.00006260091,0.0003475085,0.0001875692,0.0001622894,0.0001949335],"domain_scores_gemma":[0.9994459,0.00005423729,0.0001446438,0.0002459352,0.0000612038,0.00004814817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009272602,0.00009100047,0.00004221059,0.00007936497,0.000002765734,6.243121e-7,0.0002631459,0.00004990019,0.9920229,0.007132086,0.000181787,0.00004150792],"study_design_scores_gemma":[0.0007549677,0.0001633677,0.00002333733,0.00001891727,0.000005436309,0.000001812366,0.00008062635,0.0001520312,0.9958359,0.002489879,0.0003658472,0.0001078933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918069,0.000017343,0.002965235,0.00009190288,0.0007281791,0.0001920938,0.00005094788,0.00005447059,0.004092992],"genre_scores_gemma":[0.9982042,0.000006222256,0.000945723,0.0001874758,0.00008197621,0.00001444637,0.000009234736,0.00001241016,0.0005383073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006397368,"threshold_uncertainty_score":0.994345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896034389433581,"score_gpt":0.2626438374375225,"score_spread":0.2336834935431866,"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."}}