{"id":"W2419046003","doi":"10.1139/cgj-2015-0651","title":"Downhill progressive landslides in long natural slopes: triggering agents and landslide phases modeled with a finite difference method","year":2016,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landslide; Geotechnical engineering; Geology; Slope stability; Slope stability analysis; Disturbance (geology); Shear (geology); Deformation (meteorology); Landslide mitigation; Landslide classification; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.000299913,0.0004622932,0.0005013283,0.0005009405,0.000477044,0.000664675,0.001371261,0.001459749,0.002146999],"category_scores_gemma":[0.0006442662,0.0004673764,0.0006803689,0.0003708899,0.0009419695,0.0003773157,0.0007908496,0.0008088035,0.0002339346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330665,"about_ca_system_score_gemma":0.001308898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06955367,"about_ca_topic_score_gemma":0.03348543,"domain_scores_codex":[0.9998932,0.00002646248,0.000005813401,0.0000184126,0.00002834705,0.0000277458],"domain_scores_gemma":[0.9997454,0.0001310092,0.00003527259,0.00001114928,0.00004496048,0.00003217781],"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":[0.00002377776,0.00002687942,0.0009556005,0.00001367517,0.000007275721,0.00004184732,0.00003314426,0.9938613,0.001317807,0.002206267,0.0001044534,0.001407971],"study_design_scores_gemma":[0.000003455487,0.000005268391,0.00009126847,0.00000198861,0.000001720664,0.000003291585,0.000005461161,0.999432,0.00009317746,0.0002082578,0.0001518846,0.000002204382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5587883,0.0008274677,0.4165613,0.0006234967,0.0001340537,0.0001673808,0.0007678455,0.0005104049,0.0216197],"genre_scores_gemma":[0.9657336,0.0002920454,0.022602,0.00006763621,0.00002504189,0.0001577125,0.000217302,0.00006840243,0.01083636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06955367,"threshold_uncertainty_score":0.1382977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008625278739390998,"score_gpt":0.2358850074446856,"score_spread":0.2272597287052946,"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."}}