{"id":"W2001066145","doi":"10.5539/mas.v9n3p51","title":"Computer-Aided Study of Materials’ Microstructure Influence on Cracks' Propagation Pattern in Brittle Anisotropic Bodies","year":2014,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Industrial Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education and Science of the Russian Federation","keywords":"Isotropy; Materials science; Finite element method; Brittleness; Fracture mechanics; Anisotropy; Boundary element method; Fracture (geology); Microstructure; Trajectory; Visualization; Computer science; Structural engineering; Composite material; Engineering; Physics; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000192432,0.0001315238,0.0001870199,0.0001858313,0.00005800549,0.00005450796,0.0003373612,0.00007019058,0.000001513372],"category_scores_gemma":[0.00002385462,0.0001220246,0.000008374795,0.0002384354,0.0001154075,0.00008664365,0.00007015983,0.0001461897,0.000005395264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005771576,"about_ca_system_score_gemma":0.00001155854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000559425,"about_ca_topic_score_gemma":0.00001716569,"domain_scores_codex":[0.9990917,0.0000083686,0.0002165861,0.0002375927,0.0002165151,0.0002292443],"domain_scores_gemma":[0.9996125,0.00001986044,0.00003950559,0.000278267,0.00002779076,0.00002209041],"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":[0.00000491964,0.00003006943,0.0004602958,0.00002989056,0.000002080274,8.097701e-7,0.0007101086,0.2936495,0.6932245,0.0001695116,0.000004283472,0.01171395],"study_design_scores_gemma":[0.0008422611,0.0002329642,0.05391624,0.0000651911,0.000004322737,0.000001892262,0.0001337759,0.3699153,0.5737894,0.0008096787,0.00001858216,0.0002704272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677653,0.000003122669,0.03142375,0.000008550913,0.0001773434,0.0002728469,0.000003027412,0.0002413433,0.000104704],"genre_scores_gemma":[0.9994913,0.000001208551,0.0004272994,0.00001062318,0.00003055328,0.00002351452,0.0000010408,0.00001212924,0.000002274811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1194352,"threshold_uncertainty_score":0.4976017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007952534312217568,"score_gpt":0.1975767873786438,"score_spread":0.1896242530664263,"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."}}