{"id":"W4410949368","doi":"10.1139/cgj-2024-0531","title":"Size effect and rock mass strength","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geotechnical engineering; Rock mass classification; Geology; Geological Strength Index; Rockfall; Forensic engineering; Landslide; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002724736,0.0003328441,0.0004070365,0.001528224,0.0002391741,0.0004975966,0.0006923836,0.0005899331,0.006618684],"category_scores_gemma":[0.02290231,0.0002415076,0.0003631714,0.000571105,0.001425588,0.001202117,0.001281472,0.0004032922,0.0005810875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003457308,"about_ca_system_score_gemma":0.0002822721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466532,"about_ca_topic_score_gemma":0.002462889,"domain_scores_codex":[0.9979989,0.0004834826,0.0001155157,0.0003615384,0.0009248857,0.0001156971],"domain_scores_gemma":[0.9641899,0.02672354,0.003670891,0.002776502,0.002040358,0.0005989883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001395053,0.0003313244,0.6799923,0.0004438988,0.0002750488,0.001313785,0.0005010681,0.04547703,0.1670994,0.008505425,0.00111939,0.09354628],"study_design_scores_gemma":[0.00002959042,0.00100927,0.918646,0.00003603533,0.0001136776,0.001052697,0.0002889954,0.03125583,0.04032188,0.005094604,0.002077781,0.00007360768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543295,0.0005631556,0.02545809,0.0002586653,0.00004409675,0.00007093759,0.0004621489,0.0001920722,0.01862132],"genre_scores_gemma":[0.997758,0.00004624076,0.00116597,0.00002939807,0.000009688355,0.00001458667,0.00007900505,0.000024152,0.0008730558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006618684,"threshold_uncertainty_score":0.0221417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003871830492395497,"score_gpt":0.1939655097908976,"score_spread":0.1900936792985021,"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."}}