{"id":"W3196680150","doi":"10.35624/jminer2021.01.05","title":"Tacos de alto rendimiento TN – Una Innovación probada para la Minería Subterránea","year":2021,"lang":"es","type":"article","venue":"JOURNAL OF MINING ENGINEERING AND RESEARCH","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"","keywords":"Humanities; Art","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":[0.000577394,0.0004093455,0.0003009843,0.000461246,0.0004314807,0.0008755078,0.0004270864,0.0005191885,0.002460124],"category_scores_gemma":[0.0003831816,0.0002191117,0.0004974329,0.0003789284,0.0004025721,0.0007165055,0.0005106771,0.0005847252,0.0007386608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008549315,"about_ca_system_score_gemma":0.0006462883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00433488,"about_ca_topic_score_gemma":0.01738054,"domain_scores_codex":[0.9995851,0.00003472527,0.00001731233,0.00008653665,0.0002033717,0.00007302637],"domain_scores_gemma":[0.9997191,0.00004300902,0.00006592581,0.00002775796,0.0001124813,0.0000317808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002410782,0.0000544614,0.003845517,0.0004916714,0.00002466089,0.0002718218,0.0002858642,0.001858919,0.971226,0.0005487434,0.0003000687,0.02085128],"study_design_scores_gemma":[0.00003534959,0.002220552,0.02170788,0.0001735477,0.0001359424,0.0006432962,0.00158119,0.007758682,0.9112117,0.0004583338,0.05401179,0.00006193174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628051,0.004007772,0.01998999,0.0002913134,0.0001125254,0.0001145315,0.0002209495,0.0002272878,0.01223056],"genre_scores_gemma":[0.9687844,0.002084449,0.01382341,0.0001230081,0.00001753015,0.0000655671,0.0001654469,0.00005996096,0.01487621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00433488,"threshold_uncertainty_score":0.008619249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852443372233209,"score_gpt":0.331986243818345,"score_spread":0.2934618100960129,"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."}}