{"id":"W10306562","doi":"","title":"Inferred Weak Rock Mass Classification for Stope Design","year":2013,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rock mass classification; Rock mass rating; Geology; Lithology; Mining engineering; Stoping; Rock mechanics; Geotechnical engineering; Petrology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005941825,0.00007090588,0.00006561985,0.00003896296,0.00004397471,0.00006386162,0.00006304646,0.00004761532,0.0001680866],"category_scores_gemma":[0.00002782096,0.00006104635,0.00001928212,0.00006038638,0.000002851195,0.0001681622,0.000003608221,0.00004486234,0.0002215225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002391543,"about_ca_system_score_gemma":0.000006017922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006300034,"about_ca_topic_score_gemma":9.21091e-7,"domain_scores_codex":[0.9996207,0.000005097233,0.0001057643,0.00008185697,0.00004569701,0.0001408295],"domain_scores_gemma":[0.9997885,0.0000487917,0.00001187902,0.00008516094,0.00003429242,0.00003144063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007298996,0.00002040997,0.0004163917,0.0002220019,0.00004155359,1.724484e-7,0.0002360918,0.2817588,0.4286121,0.004775462,0.2372611,0.04664862],"study_design_scores_gemma":[0.0001256484,0.00001522478,0.0006907359,0.00001383268,0.000004534018,5.425452e-7,0.00007697874,0.9858929,0.006159489,0.00159225,0.005306089,0.0001217933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01225825,0.00004822911,0.9695705,0.0001506764,0.0001332739,0.0002274744,7.104138e-7,0.0003455528,0.01726529],"genre_scores_gemma":[0.9673503,0.000004746476,0.02595417,0.0000266708,0.00007171622,0.0001149532,0.000005309934,0.00001868386,0.006453445],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9550921,"threshold_uncertainty_score":0.2847298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05037970155517422,"score_gpt":0.2414928374743902,"score_spread":0.191113135919216,"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."}}