{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001601955,0.0002292132,0.0002254181,0.0003141979,0.0001295956,0.0002777523,0.0003365797,0.0003286995,0.003465246],"category_scores_gemma":[0.0004340231,0.0001326632,0.000184631,0.000240564,0.000105357,0.0001896568,0.0001797254,0.0001631517,0.0002449445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192431,"about_ca_system_score_gemma":0.0002401041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093734,"about_ca_topic_score_gemma":0.0019447,"domain_scores_codex":[0.9999331,0.00001351865,0.000003229507,0.00001590001,0.00002876173,0.000005499143],"domain_scores_gemma":[0.9997235,0.0001588229,0.00001957405,0.00003651621,0.00005415223,0.000007557668],"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":[0.0002205077,0.0001856364,0.008798125,0.0006070085,0.0000463979,0.0003726106,0.0006688639,0.4518896,0.3552476,0.007098773,0.001977459,0.1728874],"study_design_scores_gemma":[0.00001012284,0.00005935962,0.003382874,0.00001049722,0.000008738135,0.0001027622,0.0000492947,0.962009,0.03192281,0.000409045,0.002025398,0.00001000577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4455563,0.0001815231,0.5467778,0.00007399348,0.00002020563,0.00006191179,0.000355058,0.002298461,0.004674702],"genre_scores_gemma":[0.8274612,0.0001315688,0.169208,0.000009549652,0.000004577226,0.00007773648,0.0003314121,0.000144599,0.002631301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003465246,"threshold_uncertainty_score":0.01159239,"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."}}