{"id":"W2053318854","doi":"10.1016/j.ijrmms.2007.05.005","title":"A strain-softening numerical model of core discing and damage","year":2007,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Geology; Shear (geology); Ultimate tensile strength; Geotechnical engineering; Drilling; Dilatant; Structural engineering; Engineering; Materials science; Composite material; Mechanical engineering; Petrology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007657171,0.00008489342,0.000148185,0.000208353,0.00007205531,0.00004302441,0.0002153808,0.00003629303,0.000001894411],"category_scores_gemma":[0.00006074529,0.00007156533,0.00003747164,0.00008366053,0.000008040921,0.0002124571,0.00007162453,0.0001079699,6.470569e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001736765,"about_ca_system_score_gemma":0.00003414231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002225232,"about_ca_topic_score_gemma":0.000002792875,"domain_scores_codex":[0.9990296,0.000003868717,0.0003531919,0.00009690647,0.0003725348,0.0001439102],"domain_scores_gemma":[0.9995099,0.00007602904,0.0001538906,0.0000327244,0.0001462601,0.00008121936],"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":[0.00001445722,0.00001089326,0.00007471684,0.00001213152,0.00004107831,0.00001302872,0.00138932,0.9045455,0.05089218,0.0270303,0.000009596192,0.01596679],"study_design_scores_gemma":[0.0001877247,0.00008671534,0.00001966258,0.0001260264,0.00001108966,0.00009115172,0.001171271,0.9907309,0.001442117,0.006033672,0.00002163093,0.00007803449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5080695,0.0002558217,0.4912711,0.00002754065,0.0002631628,0.00001290015,0.000003648948,0.000005647037,0.00009072259],"genre_scores_gemma":[0.9740263,0.0001981295,0.02566168,0.00002978263,0.00006806185,2.065584e-7,3.474249e-7,0.000007567986,0.000007882542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4659568,"threshold_uncertainty_score":0.291835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03281644822454274,"score_gpt":0.2802636658240825,"score_spread":0.2474472175995398,"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."}}