{"id":"W4297349366","doi":"10.56952/arma-2022-0878","title":"A New Generalized Solution for the Required Strength of the Three Types of Cemented Mine Backfill","year":2022,"lang":"en","type":"article","venue":"","topic":"Tailings Management and Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agnico Eagle (Canada); Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Stoping; Geotechnical engineering; Slurry; Dispose pattern; Tailings; Rock mass classification; Mining engineering; Compressive strength; Underground mining (soft rock); Engineering; Geology; Waste management; Materials science; Metallurgy","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":[0.0001063227,0.00005423415,0.00007812182,0.0000214823,0.00006493062,0.000004624344,0.0001863676,0.000009494373,0.0004696705],"category_scores_gemma":[0.00001240841,0.00002975865,0.00006019768,0.0001130041,0.00001433654,0.00002949201,0.00009224354,0.00003115824,6.215975e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001355301,"about_ca_system_score_gemma":0.000008612837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000263157,"about_ca_topic_score_gemma":0.0002563868,"domain_scores_codex":[0.9996074,0.00001067408,0.0001404984,0.00005047646,0.0001073743,0.00008355179],"domain_scores_gemma":[0.9997382,0.00003115255,0.00003949958,0.0001659672,0.00001775132,0.000007423891],"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":[0.0006113629,0.0001062758,0.001965091,0.0005503669,0.001266638,2.320683e-7,0.001993405,0.3387397,0.2059566,0.03800581,0.2965798,0.1142247],"study_design_scores_gemma":[0.001751293,0.0001847998,0.001244361,0.00001861634,0.0001851436,3.370187e-7,0.000454877,0.7853964,0.04617398,0.001273458,0.1631409,0.0001758732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.773781,0.008421291,0.1781166,0.005776259,0.002856734,0.003531879,0.0001339016,0.0004474469,0.02693494],"genre_scores_gemma":[0.9915541,0.00003013678,0.001891089,0.00003061293,0.00003700342,0.00003495312,0.000007580386,0.00001162986,0.006402828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4466567,"threshold_uncertainty_score":0.5142563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285958671232631,"score_gpt":0.2108739946407656,"score_spread":0.1822781275175025,"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."}}