{"id":"W4388681288","doi":"10.1016/j.enggeo.2023.107340","title":"Block-flexure toppling in an anaclinal rock slope based on multi-field monitoring","year":2023,"lang":"en","type":"article","venue":"Engineering Geology","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Key Scientific Instrument and Equipment Development Projects of China; National Natural Science Foundation of China","keywords":"Landslide; Geology; Rock mass classification; Geotechnical engineering; Stage (stratigraphy); Deformation (meteorology); Stress field; Deformation monitoring; Rockfall; Acoustic emission; Seismology; Mining engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002631191,0.0002493842,0.0002289385,0.002179071,0.0003989936,0.0005264066,0.0003371882,0.0003137268,0.0008534468],"category_scores_gemma":[0.0003364041,0.0001653102,0.000173513,0.001196537,0.000241447,0.0003350415,0.0003057728,0.0001349645,0.0002409576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003316512,"about_ca_system_score_gemma":0.0002714529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02261293,"about_ca_topic_score_gemma":0.07097983,"domain_scores_codex":[0.9998257,0.00001798347,0.00001245109,0.00006236624,0.00003554151,0.00004612636],"domain_scores_gemma":[0.9996198,0.00004766342,0.0000918134,0.00004137951,0.0001205353,0.00007873073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003461951,0.0001283464,0.9646453,0.00002655558,0.00005100231,0.0002309077,0.0002580685,0.001863768,0.01662823,0.00004375292,0.0001867773,0.01559112],"study_design_scores_gemma":[0.000003884708,0.00004264031,0.993431,0.000004942398,0.00002496536,0.0001073835,0.0001523828,0.005508696,0.000562466,0.00001611862,0.0001409321,0.000004614966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985117,0.00002850489,0.0003845422,0.00000358687,0.000001853224,0.00001183559,0.0003200525,0.00002855398,0.0007093375],"genre_scores_gemma":[0.9991356,0.00001195628,0.0004604782,0.000001543875,0.000001390179,0.000004735936,0.0002177589,0.000002046801,0.0001645554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02261293,"threshold_uncertainty_score":0.04496264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103399403741392,"score_gpt":0.240043158064786,"score_spread":0.2290091640273721,"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."}}