{"id":"W4286663575","doi":"10.48550/arxiv.1906.00906","title":"Effect of Grain Orientation and Local Strains on Void Growth and\\n Coalescence in Titanium","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; H2020 Marie Skłodowska-Curie Actions; Ministerio de Economía y Competitividad; European Commission","keywords":"Materials science; Void (composites); Coalescence (physics); Crystallography; Titanium; Grain boundary; Metallurgy; Anisotropy; Grain growth; Composite material; Grain size; Microstructure; Optics; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001922228,0.0001641609,0.0002356935,0.0002356119,0.00001326285,0.000009092819,0.0001065964,0.0001688983,0.000004532788],"category_scores_gemma":[0.00002888608,0.0001853892,0.00003697935,0.0001492521,0.00007275554,0.00009363425,0.00009594578,0.0002641945,0.000003340981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007744224,"about_ca_system_score_gemma":0.00001148663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006869253,"about_ca_topic_score_gemma":0.00002231561,"domain_scores_codex":[0.9993697,0.00006459821,0.0001260141,0.000282605,0.00004798342,0.0001091266],"domain_scores_gemma":[0.9995871,0.0001007312,0.00005677618,0.0001940792,0.00002100951,0.00004028899],"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":[0.0003874351,0.00009105381,0.1202687,0.007709181,0.0001578988,0.0001347759,0.0008706326,0.6514763,0.006634987,0.2045815,0.00007246532,0.007615044],"study_design_scores_gemma":[0.001909052,0.0008145707,0.03810501,0.001057165,0.0001279419,0.000003699866,0.0001599059,0.8693905,0.07187518,0.01572839,0.00001786813,0.0008107151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583702,0.00002251431,0.04029368,0.000001831015,0.0001179747,0.0003202691,0.00001581593,0.0001085657,0.0007491388],"genre_scores_gemma":[0.99969,0.000126224,0.0001022942,0.000003566628,0.000007337046,5.907722e-7,0.00001552615,0.00001619049,0.00003826072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2179142,"threshold_uncertainty_score":0.7559952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027472107283589,"score_gpt":0.1894588155523789,"score_spread":0.169184094479543,"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."}}