{"id":"W182422275","doi":"","title":"Assessment of mine haulage drift stability using nonlinear analysis","year":2008,"lang":"en","type":"article","venue":"The 42nd U.S. Rock Mechanics Symposium (USRMS)","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Haulage; Stability (learning theory); Nonlinear system; Mining engineering; Computer science; Geology; Algorithm; Machine learning; Physics","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":[0.0005891551,0.0002932652,0.0005952816,0.0001940119,0.0001924012,0.00002442769,0.000496204,0.0001666616,0.0001831652],"category_scores_gemma":[0.00001224058,0.0002535781,0.0003133116,0.0005514045,0.000017351,0.0001283767,0.0001908649,0.0002779312,0.000006656876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896637,"about_ca_system_score_gemma":0.00005944086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001049417,"about_ca_topic_score_gemma":0.00007015198,"domain_scores_codex":[0.9983635,0.00005432082,0.0006318676,0.000318678,0.0002385995,0.0003930572],"domain_scores_gemma":[0.9985704,0.00007974938,0.0001672728,0.0009933041,0.00008484466,0.0001043808],"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":[0.00001294129,0.0001290519,0.001762682,0.0001235896,0.0006753342,0.000008363178,0.0006600441,0.9004595,0.09467742,0.001257498,0.0001850169,0.00004850941],"study_design_scores_gemma":[0.0001750111,0.00006159038,0.0001253515,0.0000144783,0.0003440571,0.00001634558,0.00007503966,0.9647855,0.03318854,0.0002958313,0.0006486262,0.0002696869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6797639,0.00007837206,0.3183315,0.00005066565,0.0001961992,0.0002301828,0.00008496471,0.000228722,0.001035434],"genre_scores_gemma":[0.9837732,0.0003182659,0.0155888,0.00003868797,0.00009383381,0.00001525694,0.00003854713,0.00005947864,0.00007391452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3040093,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468041297434743,"score_gpt":0.241439581784969,"score_spread":0.2167591688106216,"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."}}