{"id":"W2082231142","doi":"10.1007/s00603-006-0107-6","title":"Experimental Calibration of ISRM Suggested Fracture Toughness Measurement Techniques in Selected Brittle Rocks","year":2006,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fracture toughness; Brittleness; Anisotropy; Consistency (knowledge bases); Materials science; Dimensionless quantity; Fracture (geology); Chevron (anatomy); Geotechnical engineering; Standard deviation; Test method; Rock mechanics; Composite material; Compact tension specimen; Geology; Fracture mechanics; Mathematics; Statistics; Geometry; Mechanics; Crack growth resistance curve; Physics; 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":[0.00284727,0.0006392712,0.0003669663,0.0009020955,0.0007313159,0.0005456101,0.001930669,0.001456376,0.003151499],"category_scores_gemma":[0.005552873,0.000430079,0.0003220359,0.00109377,0.0007286935,0.0005984015,0.0007952239,0.0007336558,0.0008716447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006813997,"about_ca_system_score_gemma":0.0003509986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008816023,"about_ca_topic_score_gemma":0.002184858,"domain_scores_codex":[0.9979435,0.0003827219,0.0001356314,0.0004013824,0.0009718199,0.0001649813],"domain_scores_gemma":[0.9951311,0.001456028,0.0004838798,0.0009056437,0.001928718,0.00009464162],"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":[0.0008633234,0.0002685205,0.01161605,0.0002238254,0.0000301226,0.00009583191,0.000419399,0.009406974,0.9496917,0.001219005,0.0004893465,0.02567583],"study_design_scores_gemma":[0.00003456872,0.0007995447,0.02885922,0.0000352624,0.00003507103,0.0002021342,0.0001509082,0.0204594,0.9470698,0.0002244729,0.002095566,0.00003403921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111831,0.0005771125,0.08064533,0.0001448981,0.00009162142,0.0001448913,0.000605126,0.0004896414,0.006118309],"genre_scores_gemma":[0.9737461,0.0001768055,0.02434537,0.00004670106,0.00001113342,0.0001229322,0.0003626831,0.00007778979,0.001110576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003151499,"threshold_uncertainty_score":0.01505798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007151845311048743,"score_gpt":0.190867481835588,"score_spread":0.1837156365245393,"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."}}