{"id":"W2079047883","doi":"10.1139/cgj-2014-0028","title":"Development of an early-warning time-of-failure analysis methodology for open-pit mine slopes utilizing ground-based slope stability radar monitoring data","year":2015,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Windsor; Golder Associates (Canada); University of British Columbia","funders":"","keywords":"Deformation monitoring; Radar; Ground-penetrating radar; Displacement (psychology); Warning system; Geodetic datum; Slope stability; Geotechnical engineering; Geology; Deformation (meteorology); Remote sensing; Engineering; Geodesy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00314383,0.0001838226,0.0006039222,0.0002847982,0.0001651789,0.00007723461,0.00135638,0.0001596139,0.00004737624],"category_scores_gemma":[0.0006704223,0.0001814069,0.0001086034,0.0007282493,0.0000752976,0.0002790199,0.0001503151,0.0004020266,0.000002185069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366112,"about_ca_system_score_gemma":0.0007209091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003487744,"about_ca_topic_score_gemma":0.003578713,"domain_scores_codex":[0.9981223,0.0002089277,0.0007177677,0.0003140135,0.0002129419,0.0004240244],"domain_scores_gemma":[0.9976099,0.0004056833,0.0001805924,0.0007372501,0.0002695859,0.0007969787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002379379,0.0004309267,0.005677653,0.000371641,0.002752146,0.00003667167,0.00202565,0.1544152,0.2318928,0.000897866,0.0006128896,0.6006486],"study_design_scores_gemma":[0.006272372,0.001131866,0.1347404,0.0005984156,0.003686104,0.00007537826,0.005020101,0.5860404,0.1497422,0.007750809,0.1015388,0.003403158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5297269,0.0001023693,0.4694203,0.0001585911,0.00008156269,0.0003234734,0.0001142754,0.00003725955,0.00003528682],"genre_scores_gemma":[0.4125811,0.000001292918,0.5872536,0.000008014205,0.00006853925,0.00002005879,0.00004412625,0.00001939701,0.000003862924],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5972455,"threshold_uncertainty_score":0.7397558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1937491809068845,"score_gpt":0.3553315644928665,"score_spread":0.161582383585982,"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."}}