{"id":"W4303984372","doi":"10.1007/s00603-022-03097-y","title":"Improving the Accuracy of Fracture Toughness Measurement in Burst Experiments","year":2022,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Chevron","keywords":"Fracture toughness; Materials science; Toughness; Fracture (geology); Mechanics; Fracture mechanics; Pressure vessel; Pressure drop; Overburden pressure; Drop (telecommunication); Structural engineering; Composite material; Geotechnical engineering; Geology; Engineering; Mechanical engineering; Physics","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":[0.003726388,0.001292635,0.001412498,0.001305797,0.000893736,0.001486497,0.002371443,0.00263952,0.005114119],"category_scores_gemma":[0.01529426,0.0008885048,0.000425467,0.0007888828,0.00098937,0.001835463,0.001991752,0.001556037,0.001942243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006302744,"about_ca_system_score_gemma":0.0009199576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002707869,"about_ca_topic_score_gemma":0.005610725,"domain_scores_codex":[0.9953802,0.000522547,0.0002745241,0.001094135,0.00240531,0.0003233044],"domain_scores_gemma":[0.9805572,0.007721745,0.001159412,0.00536035,0.004844296,0.0003569515],"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":[0.0004464806,0.0002383429,0.008839112,0.0002202628,0.00003502594,0.00007529204,0.0002112266,0.004715856,0.9460307,0.0004378629,0.0005862863,0.03816351],"study_design_scores_gemma":[0.00004805092,0.0005211184,0.02062162,0.0000413286,0.00005280718,0.0002085492,0.0001482455,0.1129007,0.8624703,0.0005941956,0.002321253,0.00007177333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4370965,0.0008628037,0.5512303,0.000544626,0.0004144099,0.000185524,0.0006879631,0.005033464,0.003944462],"genre_scores_gemma":[0.8735389,0.0002578643,0.122657,0.0003018413,0.00006556206,0.0001195671,0.0003974377,0.00067208,0.001989715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005114119,"threshold_uncertainty_score":0.01970726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500067673606793,"score_gpt":0.2060162579854699,"score_spread":0.191015581249402,"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."}}