{"id":"W2010176264","doi":"10.1139/l00-099","title":"Les prévisions des brèches de rupture des barrages en terre restent difficiles","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dam failure; Flood myth; Hydrograph; Margin (machine learning); Environmental science; Computer science; Forensic engineering; Civil engineering; Engineering; Geography; Archaeology","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":[0.004195174,0.0009641299,0.0005760078,0.002906673,0.001391437,0.003778873,0.0008290329,0.001943861,0.007167233],"category_scores_gemma":[0.03050197,0.0003345703,0.0006036568,0.001542516,0.001178938,0.003008355,0.000557001,0.001659909,0.001956131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003609582,"about_ca_system_score_gemma":0.002392686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2399893,"about_ca_topic_score_gemma":0.2692523,"domain_scores_codex":[0.9976639,0.0006227631,0.0001367627,0.0003037311,0.001059137,0.0002138063],"domain_scores_gemma":[0.988036,0.007416628,0.001333963,0.0004685502,0.002444658,0.0003001827],"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":[0.001653603,0.0001804919,0.4394824,0.0004114091,0.0001587179,0.001520897,0.006395363,0.07468932,0.007331989,0.01192079,0.00785779,0.4483973],"study_design_scores_gemma":[0.0001083341,0.0009331699,0.7359251,0.0008505004,0.0001160923,0.001640619,0.01462134,0.1732001,0.01044132,0.01181949,0.04999086,0.0003530914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172187,0.00217108,0.04835179,0.002583987,0.0001377575,0.0001329638,0.001843614,0.001494803,0.02606535],"genre_scores_gemma":[0.9793566,0.0009510239,0.01083904,0.00008358796,0.0000486124,0.0000290757,0.0007740103,0.00005070814,0.007867287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2399893,"threshold_uncertainty_score":0.4771848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142371845778866,"score_gpt":0.1940565331901907,"score_spread":0.1826328147324021,"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."}}