{"id":"W4205735786","doi":"10.15372/fpvgn2021080130","title":"IMPROVING THE STOPING TECHNOLOGY AT THE MINE","year":2021,"lang":"ru","type":"article","venue":"Фундаментальные и прикладные вопросы горных наук","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nickel Institute","funders":"","keywords":"Stoping; Mining engineering; Geology; Environmental 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":[0.001278759,0.0004378377,0.0003869925,0.001166156,0.0009960287,0.002106641,0.0007519395,0.001079583,0.005951715],"category_scores_gemma":[0.001963994,0.0002298014,0.0004326926,0.0008767938,0.0007988164,0.001496539,0.001045327,0.0007975309,0.001721452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000832843,"about_ca_system_score_gemma":0.003033248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003791843,"about_ca_topic_score_gemma":0.004897849,"domain_scores_codex":[0.9988157,0.0002100227,0.0000559136,0.0001566762,0.0006175066,0.0001442353],"domain_scores_gemma":[0.9989467,0.0001657489,0.000105413,0.0001650179,0.0005387708,0.00007842115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002644653,0.0004595509,0.01541788,0.001035627,0.00007274896,0.0005459472,0.003164294,0.0142859,0.2078737,0.06128645,0.005429896,0.6901635],"study_design_scores_gemma":[0.0001321801,0.00271697,0.07144102,0.0008338494,0.0004802805,0.001501565,0.008719089,0.027701,0.2407306,0.04310609,0.6023911,0.0002463693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5911614,0.01200711,0.2263461,0.006626191,0.0009474962,0.000358679,0.0003230826,0.001226951,0.1610029],"genre_scores_gemma":[0.8900164,0.00454399,0.07805285,0.0002551302,0.0001525284,0.0000815247,0.0001608296,0.0001800552,0.02655668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005951715,"threshold_uncertainty_score":0.01991045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005654993866600263,"score_gpt":0.1781218386939001,"score_spread":0.1724668448272998,"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."}}