{"id":"W2587922656","doi":"","title":"Validation of empirical rock mass classification systems for rock slopes","year":2016,"lang":"en","type":"article","venue":"3rd International Symposium on Mine Safety Science and Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Rock mass rating; Rock mass classification; Classification of discontinuities; Geological Strength Index; Geology; Stability (learning theory); Excavation; Rock mechanics; Groundwater; Geotechnical engineering; Mining engineering; Mathematics; Computer science; Machine learning","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":[0.0003847625,0.00009068594,0.00009227905,0.0000649295,0.00008208652,0.00003300616,0.0002266759,0.00004713813,0.00005913152],"category_scores_gemma":[0.0001351174,0.00005819356,0.00003018572,0.0001750255,0.00004229929,0.0003434906,0.00005342929,0.00003733052,0.00002892067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072242,"about_ca_system_score_gemma":0.00001330036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001459903,"about_ca_topic_score_gemma":4.266735e-7,"domain_scores_codex":[0.9989058,0.000005830287,0.0002278454,0.0002554722,0.0004431822,0.0001618256],"domain_scores_gemma":[0.9996016,0.00009472172,0.00007400135,0.0001062603,0.00006245592,0.00006096867],"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":[0.00006932166,0.00003156776,0.008676659,0.00001550933,0.0000153311,4.332644e-7,0.0001026471,0.1731378,0.8128346,0.002734129,0.000449713,0.001932217],"study_design_scores_gemma":[0.001083783,0.0003466657,0.05049688,0.0002956145,0.00002563961,0.00002024711,0.00008103506,0.7859565,0.06542261,0.0001431692,0.09570278,0.0004250887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7793506,0.00004117391,0.2044595,0.007248728,0.00167768,0.000472061,0.00006107186,0.00006926915,0.006619901],"genre_scores_gemma":[0.9986922,0.0001262518,0.0005209104,0.00002579975,0.00007835616,0.00001726627,0.000005333721,0.000007235804,0.0005266104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.747412,"threshold_uncertainty_score":0.2373065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237752418817095,"score_gpt":0.244317540673994,"score_spread":0.231940016485823,"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."}}