{"id":"W2621232337","doi":"","title":"Evaluating Uncertainty in Intact and Rockmass Parameters for the Purposes of Reliability Assessment","year":2013,"lang":"en","type":"article","venue":"47th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Environmental science; Risk analysis (engineering); Computer science; Forensic engineering; Engineering; Business","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001486686,0.0004013289,0.0005308866,0.0001943804,0.0002307976,0.0001258818,0.000425604,0.0002228711,0.00003303236],"category_scores_gemma":[0.0002495683,0.0003212887,0.0001334476,0.0004131982,0.000008996072,0.0003248108,0.0001507086,0.0004481672,0.000005110584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709601,"about_ca_system_score_gemma":0.00008550927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002962763,"about_ca_topic_score_gemma":0.00006719199,"domain_scores_codex":[0.9975552,0.00008477159,0.0007911364,0.000515072,0.0003964423,0.0006573845],"domain_scores_gemma":[0.998123,0.0007597045,0.0002080392,0.0005430856,0.0002284205,0.0001377836],"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":[0.00002724877,0.00005427211,0.0000659932,0.0005974306,0.00006527021,5.967587e-7,0.0004175837,0.911545,0.07965372,0.002918262,0.0001613979,0.004493213],"study_design_scores_gemma":[0.0007215521,0.0003297926,0.00003250719,0.0001758265,0.00007120017,0.000006093748,0.0006418175,0.971377,0.006593232,0.0195602,0.0001305292,0.0003602774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.583464,0.0007470499,0.4101897,0.0007992914,0.001365272,0.002888254,0.00005705026,0.0002998898,0.0001895238],"genre_scores_gemma":[0.9941972,0.0002050702,0.004680482,0.00007295008,0.00006277062,0.0006393303,0.00001935741,0.00007511744,0.00004775956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4107331,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526780397405441,"score_gpt":0.2816916352196608,"score_spread":0.2564238312456064,"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."}}