{"id":"W4401544642","doi":"10.1007/s10706-024-02914-1","title":"Experimental and Numerical Study on the Influence of Cut Design, Deviation Factor, and Rock Mass Quality on the Blast Pull Performance","year":2024,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Hydrogeology; Quality (philosophy); Rock mass classification; Geology; Geotechnical engineering; Engineering; Structural engineering; Reliability engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000251713,0.0001614953,0.0001670845,0.00003132572,0.0000784802,0.000038915,0.00009118069,0.00008913954,0.00000743376],"category_scores_gemma":[0.000105464,0.00008774814,0.00002394986,0.0000968771,0.00001633921,0.0000538412,0.00008104328,0.000346105,0.00000211874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001537991,"about_ca_system_score_gemma":0.00000299372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004103204,"about_ca_topic_score_gemma":6.790848e-8,"domain_scores_codex":[0.9992285,0.00003062818,0.000211626,0.0002071423,0.0001465109,0.000175574],"domain_scores_gemma":[0.9993394,0.0004669992,0.00001483604,0.0001213257,0.000011441,0.00004597113],"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":[0.00001618817,0.00002759223,0.00006728581,0.00004094717,0.00002221259,0.000002449065,0.0001655291,0.9501982,0.04316919,0.005703448,0.000002951984,0.0005839859],"study_design_scores_gemma":[0.00007269946,0.000377383,0.008068775,0.00007123089,0.000007241494,0.000004753851,0.00006701038,0.9811236,0.009893423,0.0001272564,0.00005824238,0.0001284137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8764293,0.0003505051,0.1226781,0.000129732,0.00003328107,0.0002362928,0.000002041925,0.0001300319,0.00001075819],"genre_scores_gemma":[0.9997293,0.00006810704,0.0000818975,0.00003797438,0.00002099202,0.0000461434,3.648782e-7,0.00001121017,0.00000398982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1233,"threshold_uncertainty_score":0.3578265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135948509342731,"score_gpt":0.2430157058036186,"score_spread":0.2116562207101913,"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."}}