{"id":"W2010283490","doi":"10.1016/j.ijrmms.2013.08.011","title":"Micromechanical model for the rate dependence of the fracture toughness anisotropy of Barre granite","year":2013,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Micromechanics; Fracture toughness; Materials science; Anisotropy; Composite material; Split-Hopkinson pressure bar; Fracture (geology); Isotropy; Toughness; Fracture mechanics; Strain rate; Composite number","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":[0.0002692203,0.0004767915,0.0005283424,0.0008585667,0.0005515965,0.0007539855,0.002039918,0.002253003,0.002836889],"category_scores_gemma":[0.0007359469,0.0005118979,0.0005530814,0.0004626905,0.0007402019,0.0008541596,0.0003609651,0.0007572089,0.0005327069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071313,"about_ca_system_score_gemma":0.001087115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02113586,"about_ca_topic_score_gemma":0.01927414,"domain_scores_codex":[0.999903,0.00001326901,0.000005476651,0.00003167269,0.00002517943,0.00002142219],"domain_scores_gemma":[0.9998199,0.00005848059,0.0000369327,0.00001979825,0.0000476686,0.00001723417],"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":[0.00004756128,0.00009175618,0.001287368,0.0000610392,0.00002244931,0.0002325625,0.00008349271,0.9518596,0.02621302,0.01661374,0.000593838,0.002893662],"study_design_scores_gemma":[0.000007528114,0.000008896379,0.0006990224,0.000002742062,0.000004113101,0.00002615155,0.00001332092,0.9974127,0.0003657263,0.001141897,0.0003074577,0.00001036923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6737551,0.001826497,0.2667186,0.002685046,0.0002860662,0.0001936958,0.001259136,0.001081795,0.05219406],"genre_scores_gemma":[0.9878809,0.0002635233,0.003719237,0.00007913793,0.00001960528,0.00006267888,0.0001097782,0.00006412894,0.007800956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02113586,"threshold_uncertainty_score":0.04202569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844751006830025,"score_gpt":0.2507126225973043,"score_spread":0.232265112529004,"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."}}