{"id":"W4386167747","doi":"10.1007/s12613-023-2649-y","title":"Microscopic damage evolution of anisotropic rocks under indirect tensile conditions: Insights from acoustic emission and digital image correlation techniques","year":2023,"lang":"en","type":"article","venue":"International Journal of Minerals Metallurgy and Materials","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bedding; Ultimate tensile strength; Acoustic emission; Digital image correlation; Anisotropy; Composite material; Bed; Materials science; Shear (geology); Oil shale; Geology; Compression (physics); Scanning electron microscope; Geotechnical engineering; Optics","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":[0.000115241,0.0001659631,0.0001607962,0.0003759414,0.0001593026,0.0003208123,0.0002595754,0.0002595279,0.001562831],"category_scores_gemma":[0.0004539692,0.0001636867,0.00008887288,0.0002729805,0.0005475333,0.0005062065,0.0002796838,0.0003164149,0.000162276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563309,"about_ca_system_score_gemma":0.0001447492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024093,"about_ca_topic_score_gemma":0.001462036,"domain_scores_codex":[0.9998968,0.000006497977,0.000003129202,0.00001885013,0.00005682571,0.00001789567],"domain_scores_gemma":[0.9997733,0.00006462215,0.00006129036,0.00002472564,0.00005689136,0.00001926454],"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":[0.0001905287,0.00007088562,0.007544098,0.00009099325,0.00001590208,0.0003422479,0.0003041488,0.008004737,0.9649598,0.001146992,0.0002474264,0.0170823],"study_design_scores_gemma":[0.00002529463,0.00026853,0.1761899,0.00002662197,0.000053552,0.001575302,0.0007318968,0.249084,0.5685424,0.001328469,0.002099144,0.00007507815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806753,0.000177244,0.0166716,0.00006330603,0.000007287789,0.00001246322,0.00009319967,0.00005875839,0.002240797],"genre_scores_gemma":[0.9973288,0.00007938115,0.001873272,0.000006343806,0.000004193255,0.000004103281,0.00003321742,0.000009613261,0.0006611349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001562831,"threshold_uncertainty_score":0.005228221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009369990296158804,"score_gpt":0.239544999973627,"score_spread":0.2301750096774682,"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."}}