{"id":"W3117618409","doi":"10.46873/2300-3960.1022","title":"Optimum location of last-mined stope with the influence of backfilling","year":2020,"lang":"en","type":"article","venue":"Journal of Sustainable Mining","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Western Canada Research Grid; Compute Canada","keywords":"Stoping; Excavation; Mining engineering; Geotechnical engineering; Roof; Drilling; Finite element method; Engineering; Geology; Structural engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003714575,0.0003895994,0.0004920869,0.0006063143,0.0004528515,0.001011893,0.0004610854,0.0005583293,0.001191388],"category_scores_gemma":[0.001048289,0.0002327714,0.0002958403,0.0003003516,0.0004987229,0.0005458507,0.0005430306,0.0001715527,0.0001848709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004736055,"about_ca_system_score_gemma":0.001088799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007939721,"about_ca_topic_score_gemma":0.01389796,"domain_scores_codex":[0.9997521,0.00003174701,0.000009088657,0.000051809,0.00006299069,0.00009222821],"domain_scores_gemma":[0.9996783,0.00009749906,0.00006781088,0.00002237418,0.00009382029,0.0000403316],"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":[0.00085552,0.0001476764,0.04984111,0.000360022,0.00007055489,0.002055282,0.0003714297,0.7989522,0.08221278,0.003265876,0.001276403,0.06059115],"study_design_scores_gemma":[0.000100544,0.0006056877,0.04352065,0.00005427398,0.0001620513,0.000542275,0.002042461,0.9145265,0.03424588,0.00170267,0.002410172,0.00008675208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638732,0.0002551484,0.03103665,0.00007493626,0.000019302,0.00002730265,0.00009853502,0.0001687734,0.004446165],"genre_scores_gemma":[0.9960589,0.00005153837,0.003463338,0.000004155563,9.249071e-7,0.000005196431,0.00002515918,0.000005860083,0.0003848955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007939721,"threshold_uncertainty_score":0.01578701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009695486341822438,"score_gpt":0.1989163592340787,"score_spread":0.1892208728922563,"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."}}