{"id":"W4206265930","doi":"10.1016/j.engfracmech.2021.108227","title":"Rock grain-scale mechanical properties influencing hydraulic fracturing using Hydro-GBM approach","year":2022,"lang":"en","type":"article","venue":"Engineering Fracture Mechanics","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"China Scholarship Council; Monash University; Commonwealth Scientific and Industrial Research Organisation","keywords":"Cracking; Hydraulic fracturing; Grain boundary; Geotechnical engineering; Shear (geology); Geology; Grain size; Materials science; Scale (ratio); Microstructure; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005451377,0.0006998688,0.0006183367,0.0003969955,0.0005914895,0.0001248427,0.0007022118,0.0002767124,0.00008595739],"category_scores_gemma":[0.00005046712,0.0007556389,0.0002684674,0.0005589517,0.000003651626,0.0003496176,0.0004661602,0.001797655,0.00001166103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006765216,"about_ca_system_score_gemma":0.00006580663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004198071,"about_ca_topic_score_gemma":0.000002066204,"domain_scores_codex":[0.9967402,0.00005456122,0.0006758412,0.0006704729,0.0008069194,0.001052016],"domain_scores_gemma":[0.9987971,0.00004082672,0.0001106115,0.0007013181,0.00005904584,0.0002910519],"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":[0.000008771735,0.00003645006,5.767215e-7,0.0001290694,0.0000856467,0.00001481878,0.0007173995,0.8339849,0.1642751,0.0004215561,0.00009897464,0.0002267972],"study_design_scores_gemma":[0.0003436572,0.00005298659,0.000001078935,0.00005368391,0.00007151361,0.0001469485,0.000357475,0.9027123,0.08117331,0.0003016256,0.01396334,0.0008220759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1931029,0.001545234,0.8018183,0.00004271874,0.001540825,0.0004568085,0.00001471736,0.001364322,0.0001141164],"genre_scores_gemma":[0.9805986,0.00004773239,0.01802723,0.0003407826,0.0004042159,0.0001671955,0.0000321204,0.0003415371,0.00004058989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7874957,"threshold_uncertainty_score":0.9994895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237384602440188,"score_gpt":0.1854700558948912,"score_spread":0.1730962098704893,"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."}}