{"id":"W2966639174","doi":"","title":"Investigating Frictional Behavior of Micro-Cracks Using Grain Based Modelling in the Combined Finite-Discrete Element Method (FDEM)","year":2018,"lang":"en","type":"article","venue":"52nd U.S. Rock Mechanics/Geomechanics Symposium","topic":"Numerical methods in engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Discrete element method; Geology; Finite element method; Geotechnical engineering; Structural engineering; Mechanics; Engineering","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":[0.0001464013,0.0001851696,0.0002258737,0.000296587,0.0001593887,0.0003084445,0.0004206853,0.0006397643,0.0009234842],"category_scores_gemma":[0.0006566319,0.0001741552,0.0001574065,0.000196493,0.0002326653,0.0004791013,0.0002151297,0.0002623749,0.0001254667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002494289,"about_ca_system_score_gemma":0.0002647217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543729,"about_ca_topic_score_gemma":0.005489501,"domain_scores_codex":[0.9999286,0.00000697736,0.000003389324,0.00001370355,0.00003395644,0.00001343982],"domain_scores_gemma":[0.9997479,0.0001182566,0.00002992195,0.00003243731,0.00005511299,0.00001636825],"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":[0.0002827224,0.0003239979,0.01992528,0.0003465418,0.00004091117,0.0003790868,0.0004450577,0.4684088,0.4574533,0.004976461,0.0007303745,0.04668762],"study_design_scores_gemma":[0.000005025042,0.00003352993,0.002841141,0.000005592783,0.000003199419,0.00003135432,0.00003049521,0.9847658,0.01189221,0.0001740642,0.0002119498,0.000005628644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235116,0.000227495,0.07362717,0.00006883898,0.00002120023,0.00003659614,0.0001146576,0.0002263215,0.002166096],"genre_scores_gemma":[0.9891187,0.00004374218,0.01041266,0.000004870697,0.00000127497,0.000007216301,0.00002737577,0.00001258483,0.000371576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003543729,"threshold_uncertainty_score":0.007046223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913680206537946,"score_gpt":0.2776322317311818,"score_spread":0.2484954296658023,"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."}}