{"id":"W1970178705","doi":"10.1080/17480930.2014.975917","title":"A comparison between Offset Herringbone and El Teniente underground cave mining extraction layouts using a discrete event simulation technique","year":2014,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Undercut; Offset (computer science); Computer science; Event (particle physics); Engineering; Mechanical engineering","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":[0.0005023438,0.0001287437,0.0002054462,0.0001776061,0.00005666257,0.00007166376,0.00008202917,0.00008569109,0.00001733545],"category_scores_gemma":[0.00003233188,0.0001322098,0.00004245372,0.00002274049,0.00002879379,0.0002822931,0.0000426186,0.0001421941,0.000001039119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002408536,"about_ca_system_score_gemma":0.000005840869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000666858,"about_ca_topic_score_gemma":0.000001779981,"domain_scores_codex":[0.9989918,0.00003494084,0.0005472297,0.0001179133,0.000201466,0.0001066477],"domain_scores_gemma":[0.9993781,0.0001246666,0.0003302244,0.00006970915,0.00002554433,0.00007169157],"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":[0.0000675044,0.00004717375,0.06033223,0.00005111629,0.0002332557,0.000005865665,0.003159536,0.8521126,0.01221896,0.0001304181,0.0000960674,0.0715453],"study_design_scores_gemma":[0.0004947485,0.0001221292,0.02616567,0.0002824069,0.0000531345,0.000099112,0.0005136568,0.9674364,0.001975712,0.0003667668,0.002293351,0.0001969304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6241795,0.00005106048,0.3754199,0.0000659673,0.0001252605,0.00005853259,0.000002887253,0.00001935751,0.00007750315],"genre_scores_gemma":[0.9631584,0.000134193,0.03645905,0.00001734717,0.00018413,0.000003973088,0.00001149161,0.00001931051,0.00001213845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3389789,"threshold_uncertainty_score":0.5391359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295349678605085,"score_gpt":0.3092804864278443,"score_spread":0.2797455185673358,"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."}}