{"id":"W2172208716","doi":"10.1139/t06-050","title":"Lodalen slide: a probabilistic assessment","year":2006,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probabilistic logic; Monte Carlo method; Factor of safety; Slope stability; Geotechnical engineering; Probabilistic analysis of algorithms; Safety factor; Slope stability analysis; Slope failure; Computer science; Stability (learning theory); Reliability engineering; Statistics; Engineering; Mathematics; Machine learning","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":[0.003857519,0.0008610635,0.0005826661,0.005079905,0.0007948156,0.002392303,0.001230265,0.0006040913,0.005203347],"category_scores_gemma":[0.01188974,0.0004976672,0.000766081,0.002196971,0.0009234454,0.001962198,0.002559322,0.0004886688,0.0005640851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788314,"about_ca_system_score_gemma":0.001919427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410256,"about_ca_topic_score_gemma":0.01834318,"domain_scores_codex":[0.9964417,0.0006308391,0.0001641066,0.0003432071,0.002304147,0.0001158853],"domain_scores_gemma":[0.9964129,0.001587289,0.0004802386,0.0003948834,0.001036275,0.00008846867],"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":[0.0002412499,0.00006918146,0.07578474,0.0003746928,0.0002247926,0.0006191119,0.001204844,0.6035911,0.005594919,0.09514295,0.005678216,0.2114742],"study_design_scores_gemma":[0.00003039277,0.0004202693,0.0721442,0.0002151456,0.0001408049,0.0008309809,0.0009269529,0.8344217,0.004177598,0.05008281,0.03639633,0.0002128177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1738343,0.0007792375,0.7715631,0.0003977972,0.00003880972,0.0007789612,0.002361621,0.001713738,0.04853251],"genre_scores_gemma":[0.8463991,0.0006587756,0.145044,0.00004299866,0.00002725764,0.0004201652,0.001473171,0.0001317257,0.005802803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01410256,"threshold_uncertainty_score":0.02804095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004654735684796767,"score_gpt":0.1907924773173713,"score_spread":0.1861377416325745,"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."}}