{"id":"W3115598490","doi":"10.3390/min11010010","title":"Progressive Damage of a Canadian Granite in Laboratory Compression Tests and Underground Excavations","year":2020,"lang":"en","type":"article","venue":"Minerals","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Safety Commission","funders":"","keywords":"Excavation; Geotechnical engineering; Cohesion (chemistry); Geology; Rock mass classification; Constitutive equation; Mining engineering; Shield; Compression (physics); Engineering; Petrology; Finite element method; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004011599,0.0005201441,0.0004214387,0.0006809271,0.0008596912,0.0007180469,0.001327688,0.001012723,0.0006750643],"category_scores_gemma":[0.0008224162,0.0002764682,0.0003711368,0.0009701914,0.001588992,0.0003228782,0.000440847,0.0004832849,0.0001303442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004349223,"about_ca_system_score_gemma":0.002314943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4014635,"about_ca_topic_score_gemma":0.5959548,"domain_scores_codex":[0.9995897,0.00002233442,0.00001423681,0.00006656758,0.0002169183,0.00009034036],"domain_scores_gemma":[0.9996904,0.00009357605,0.00004927717,0.00003338536,0.00009786795,0.00003562445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001003552,0.0004700013,0.05176772,0.0004770409,0.00006843643,0.002126448,0.001339707,0.7119101,0.1998697,0.001993304,0.001012041,0.02796189],"study_design_scores_gemma":[0.0001198596,0.00137097,0.1890715,0.0001008272,0.0001332066,0.0007672717,0.002165744,0.6603891,0.1406524,0.0005752996,0.004481222,0.0001725989],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968815,0.0001242601,0.0009855399,0.00002702515,0.000004948198,0.00002975149,0.0001848493,0.00004100251,0.001721127],"genre_scores_gemma":[0.998481,0.0001164554,0.0005745525,0.000005104049,8.604503e-7,0.00001069033,0.00008926166,0.000006131393,0.0007159668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5985365,"threshold_uncertainty_score":0.7982534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507352321581374,"score_gpt":0.2241934509837381,"score_spread":0.1991199277679243,"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."}}