{"id":"W4391757284","doi":"10.1007/s00603-023-03718-0","title":"Evaluation of the Rock Mass Strength for Hard Rock Pillar Design Using Bonded Block Models","year":2024,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cohesion (chemistry); Rock mass classification; Compressive strength; Pillar; Geotechnical engineering; Geology; Structural engineering; Geological Strength Index; Strength reduction; Materials science; Engineering; Composite material; Finite element method; Physics","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":[0.0009122756,0.0007191484,0.0006946215,0.0006067684,0.0002688997,0.0004539919,0.0009123494,0.0009020168,0.004001316],"category_scores_gemma":[0.002317021,0.0004206666,0.0005299266,0.0002299599,0.0002497992,0.0004660868,0.0003980516,0.0003708866,0.000541319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003785037,"about_ca_system_score_gemma":0.0007991262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002609008,"about_ca_topic_score_gemma":0.003731905,"domain_scores_codex":[0.9995856,0.000117527,0.00001505778,0.00002489665,0.0002196771,0.00003725771],"domain_scores_gemma":[0.9988582,0.0006184735,0.0000911193,0.0001188637,0.0002763967,0.00003694587],"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":[0.0001626547,0.0001160512,0.0008851674,0.0001327047,0.00003129769,0.00004502149,0.00003258935,0.9467078,0.02204608,0.001775211,0.0002003687,0.02786501],"study_design_scores_gemma":[0.000009811585,0.0001910857,0.0002355479,0.000005968596,0.00001498441,0.000008873722,0.000009074934,0.9939052,0.005250585,0.0001226436,0.0002421087,0.00000394218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5900213,0.000371546,0.3893849,0.0001145475,0.00003766216,0.0001968101,0.0002505826,0.0005770983,0.01904557],"genre_scores_gemma":[0.9520448,0.00009897177,0.04572209,0.0000134453,0.000004449364,0.00007434406,0.00007904493,0.0000797584,0.001883029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004001316,"threshold_uncertainty_score":0.01338577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04710270421651187,"score_gpt":0.2398559170757919,"score_spread":0.19275321285928,"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."}}