{"id":"W1628146417","doi":"10.14264/266102","title":"Risk analysis of optimal stope design : incorporating grade uncertainty","year":2004,"lang":"en","type":"dissertation","venue":"The University of Queensland","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reuse; Computer science; Software; Code (set theory); Key (lock); Risk analysis (engineering); Industrial engineering; Engineering; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003988102,0.0009058465,0.001150938,0.001314071,0.0003936833,0.002065913,0.0009271305,0.001246773,0.003321825],"category_scores_gemma":[0.01112846,0.0009876875,0.001036622,0.000546522,0.001054959,0.001124651,0.00138705,0.001125037,0.0002761516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807989,"about_ca_system_score_gemma":0.002135508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00712881,"about_ca_topic_score_gemma":0.003697177,"domain_scores_codex":[0.998676,0.0005338407,0.00005608772,0.0001587632,0.0003977323,0.0001775698],"domain_scores_gemma":[0.9940907,0.004504388,0.000566644,0.0002072855,0.0005092552,0.0001216989],"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":[0.0000206542,0.000008469711,0.0003181632,0.00001692553,0.00000878037,0.00001277532,0.00001754983,0.992432,0.0001656077,0.003486495,0.00006354738,0.003449061],"study_design_scores_gemma":[0.0000034161,0.0000259729,0.000106836,0.000006941152,0.000006567929,0.00000604601,0.000009270182,0.996595,0.0001615322,0.002847949,0.000226435,0.000004109767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07807207,0.0004311184,0.9102652,0.000274709,0.00003203297,0.00008361955,0.0001035481,0.0002044899,0.01053326],"genre_scores_gemma":[0.9085401,0.0003597364,0.08554476,0.00005496193,0.0000220883,0.0001216004,0.0001296675,0.0001223579,0.005104838],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00712881,"threshold_uncertainty_score":0.02109134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371562757621223,"score_gpt":0.1992468702210237,"score_spread":0.1855312426448115,"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."}}