{"id":"W2613383486","doi":"","title":"Numerical modelling of time-dependent skin degradation of an isolated pillar","year":2016,"lang":"en","type":"article","venue":"3rd International Symposium on Mine Safety Science and Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Degradation (telecommunications); Pillar; Instability; Brittleness; Weibull distribution; Softening; Creep; Breakage; Parametric statistics; Geotechnical engineering; Mechanics; Materials science; Geology; Structural engineering; Composite material; Mathematics; Engineering; Physics; Statistics","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":[0.0003048237,0.0001107487,0.0001317029,0.0001704549,0.00003345459,0.00001388893,0.0002175522,0.00003843027,0.00001455542],"category_scores_gemma":[0.0000262545,0.00009035837,0.00002736153,0.0001701387,0.00002112013,0.0003565882,0.00003188153,0.00005162799,0.000003278309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008360721,"about_ca_system_score_gemma":0.00001629414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000193763,"about_ca_topic_score_gemma":5.435946e-7,"domain_scores_codex":[0.998964,0.000004052566,0.0002839036,0.0001841115,0.000403425,0.0001605246],"domain_scores_gemma":[0.9995613,0.00003397541,0.00004299212,0.0001248738,0.000160653,0.00007618807],"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":[0.00001128641,0.000009351069,0.000004750163,0.00000733346,0.000007649988,3.171823e-7,0.00003617272,0.6052548,0.3923662,0.0005310872,9.913043e-7,0.001770111],"study_design_scores_gemma":[0.0001795319,0.00007107258,0.00002238071,0.00007632526,0.000003718028,0.000004960411,0.000006099325,0.8479524,0.1514676,0.00003100444,0.0000896082,0.00009534835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5129048,0.00001835492,0.4863594,0.00007776532,0.0002194057,0.00004806439,0.00001004416,0.00004061068,0.0003215687],"genre_scores_gemma":[0.9970943,0.0001707759,0.002628914,0.000006113977,0.00004232422,0.000002624521,0.000004354654,0.0000157447,0.00003485995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4841895,"threshold_uncertainty_score":0.3684708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00827788736305622,"score_gpt":0.2010252261268553,"score_spread":0.1927473387637991,"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."}}