{"id":"W2965334971","doi":"10.1139/cgj-2018-0779","title":"Landslide motion assessment including rate effects and thermal interactions: revisiting the Canelles landslide","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landslide; Geotechnical engineering; Geology; Shearing (physics); Cabin pressurization; Finite element method; Joint (building); Acceleration; Pore water pressure; Mechanics; Landslide mitigation; Landslide classification; Structural engineering; Materials science; Engineering; Composite material; Classical mechanics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002519853,0.0003802875,0.0004121277,0.001311215,0.0004394997,0.0008265419,0.0004603375,0.0006674512,0.0005203352],"category_scores_gemma":[0.0008208065,0.000236647,0.0002952137,0.0005321953,0.000310096,0.0005211117,0.0003547081,0.0003056836,0.000104691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006211844,"about_ca_system_score_gemma":0.0005219824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03454918,"about_ca_topic_score_gemma":0.09242287,"domain_scores_codex":[0.9998844,0.00001477642,0.000008939603,0.00002061729,0.0000482171,0.00002300898],"domain_scores_gemma":[0.9998011,0.00005644271,0.00002927436,0.0000198889,0.00007728405,0.0000160087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004615319,0.0002365907,0.2605231,0.0003457388,0.000150192,0.003512593,0.001076555,0.4123776,0.2323994,0.001016347,0.0003721783,0.08752802],"study_design_scores_gemma":[0.00001834577,0.0003788028,0.3623217,0.00004398019,0.0001170577,0.0004396616,0.001061275,0.5926813,0.04052858,0.0003436815,0.001983128,0.00008243125],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970332,0.00007235234,0.00188794,0.00003013371,0.000002523934,0.00001764802,0.00006966654,0.0000264407,0.0008601457],"genre_scores_gemma":[0.9975362,0.00008040063,0.00194513,0.00000565965,0.000001489714,0.000006248719,0.00008086532,0.000006651232,0.0003373922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03454918,"threshold_uncertainty_score":0.06869614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008056591953172453,"score_gpt":0.2399211061152341,"score_spread":0.2318645141620617,"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."}}