{"id":"W7116047667","doi":"10.82417/ardv-4z39","title":"Full field modeling of austenite grain growth using the level set method","year":2025,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Grain size; Ranging; Range (aeronautics); Grain growth; Log-normal distribution; Experimental data; Crystallite; Particle-size distribution","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":[0.0003256478,0.0005469071,0.0005762483,0.0004961794,0.0003202073,0.0007488457,0.001231981,0.0009366919,0.004308706],"category_scores_gemma":[0.0006713562,0.0004879206,0.000702141,0.0005998016,0.000346589,0.0005919729,0.0003946321,0.0005247424,0.0009063101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008709611,"about_ca_system_score_gemma":0.001099632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009679989,"about_ca_topic_score_gemma":0.006520643,"domain_scores_codex":[0.9998453,0.00003041073,0.000006066863,0.00001680278,0.00008532592,0.00001613083],"domain_scores_gemma":[0.9997857,0.0001046698,0.00002059918,0.00002359351,0.00005524932,0.00001015605],"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":[0.0000150825,0.0000168427,0.0002082808,0.00003942037,0.00001190628,0.00002533991,0.00002287561,0.9878116,0.002955747,0.003827431,0.0005823774,0.004483095],"study_design_scores_gemma":[0.000001759267,0.000003145272,0.0000401254,0.000001641956,8.315421e-7,0.000003510003,0.000001251541,0.9987162,0.0003672705,0.0004031303,0.0004590036,0.000002027522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09192955,0.0004553355,0.8678033,0.0002943045,0.00007925467,0.0001515537,0.001558156,0.002439301,0.03528922],"genre_scores_gemma":[0.7581541,0.0006840247,0.216917,0.00008435063,0.00002912504,0.0005039292,0.001570124,0.0007089598,0.02134844],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009679989,"threshold_uncertainty_score":0.01924729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06599478961471017,"score_gpt":0.341687931956897,"score_spread":0.2756931423421868,"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."}}