{"id":"W2559265225","doi":"","title":"Interpretation of Triaxial Testing Data For Estimation of the Hoek-Brown Strength Parameter Mi","year":2011,"lang":"en","type":"article","venue":"45th U.S. Rock Mechanics / Geomechanics Symposium","topic":"Mechanical and Thermal Properties Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Excellence in Mining Innovation","funders":"","keywords":"Hoek–Brown failure criterion; Interpretation (philosophy); Mathematics; Geotechnical engineering; Geology; Computer science","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":[0.002566869,0.001840265,0.0007145998,0.005972435,0.000533465,0.001041144,0.001806255,0.0007758393,0.01242443],"category_scores_gemma":[0.01312881,0.0003490633,0.0004125344,0.00292684,0.0004012166,0.0008032446,0.0005182291,0.0009553723,0.004013264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979852,"about_ca_system_score_gemma":0.0006598721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00318591,"about_ca_topic_score_gemma":0.005811542,"domain_scores_codex":[0.9984214,0.0002417381,0.0002989213,0.0002113061,0.0007392814,0.00008746838],"domain_scores_gemma":[0.9907946,0.002241817,0.001114463,0.001239971,0.004476666,0.0001324687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001404837,0.0003551869,0.06936971,0.001058286,0.0001245718,0.001372014,0.0008857126,0.01642678,0.4414084,0.00342181,0.01776707,0.4464057],"study_design_scores_gemma":[0.0001221457,0.001181517,0.295459,0.0004031389,0.0002470733,0.002313543,0.002254413,0.2967103,0.3616412,0.009208792,0.03014848,0.0003104458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1868997,0.0005981602,0.763452,0.0004212683,0.0004284862,0.000981643,0.01304714,0.008669631,0.025502],"genre_scores_gemma":[0.7535077,0.0004019117,0.233162,0.0001807503,0.00005712622,0.0006996575,0.005293237,0.0008078581,0.005889798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01242443,"threshold_uncertainty_score":0.04156387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03974981468078884,"score_gpt":0.2255228367162038,"score_spread":0.185773022035415,"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."}}