{"id":"W2073497439","doi":"10.1007/s00024-010-0103-3","title":"Loading Rate Dependence of Tensile Strength Anisotropy of Barre Granite","year":2010,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Anisotropy; Orthotropic material; Ultimate tensile strength; Split-Hopkinson pressure bar; Materials science; Tensile testing; Composite material; Bar (unit); Geology; Strain rate; Structural engineering; Finite element method","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005185181,0.0001048241,0.0001753934,0.00002651701,0.00003536335,0.000008612386,0.00007711441,0.00005942822,0.00000546281],"category_scores_gemma":[0.000002858153,0.0001023976,0.00003080455,0.00008291014,0.00001341962,0.00004192168,0.00003040035,0.0001640307,0.000002264242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000204777,"about_ca_system_score_gemma":0.000007796065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007238628,"about_ca_topic_score_gemma":0.00000711645,"domain_scores_codex":[0.999523,0.000002137186,0.0001475506,0.0001108616,0.00008059842,0.000135878],"domain_scores_gemma":[0.9997143,0.00002190793,0.00004114852,0.0001470884,0.00003238321,0.00004322241],"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":[0.000005096842,0.00001115474,0.00001496793,0.0000798554,0.00001618953,4.497404e-7,0.000186039,0.002933553,0.9640512,0.02569088,0.00001846679,0.00699216],"study_design_scores_gemma":[0.0003347878,0.00002524204,0.0001554432,0.00002869348,0.00003965213,0.000001568575,0.0001253601,0.07067741,0.910323,0.01776758,0.0003089393,0.0002122899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909459,0.00007177691,0.00793278,0.000002841555,0.0001212274,0.00007589361,0.00001589966,0.00003671561,0.0007969477],"genre_scores_gemma":[0.9982502,0.0000679844,0.001566141,0.000008683102,0.00006879056,0.000004868524,0.000005799166,0.00001870887,0.000008823968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06774385,"threshold_uncertainty_score":0.4175653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005282085812154345,"score_gpt":0.1833533146465912,"score_spread":0.1780712288344369,"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."}}