{"id":"W2062770843","doi":"10.1139/l03-018","title":"Prévision par modélisation numérique de la zone de risque bordant un tronçon de rivière subissant une crue exceptionnelle","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Tributary; Geology; Landslide; Hydrology (agriculture); Flood myth; Hydraulics; Geotechnical engineering; Erosion; Geomorphology; Engineering; Cartography; Geography","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":[0.0008050723,0.0008569759,0.001099259,0.000567472,0.0007115591,0.001787793,0.001348351,0.002771993,0.003015587],"category_scores_gemma":[0.002405704,0.0006626485,0.001234127,0.0006038498,0.001213334,0.0008133883,0.0008501043,0.00157656,0.0004452229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482775,"about_ca_system_score_gemma":0.002073083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07633232,"about_ca_topic_score_gemma":0.02554181,"domain_scores_codex":[0.9997808,0.00007523342,0.00001343128,0.00004462503,0.00004896378,0.00003681504],"domain_scores_gemma":[0.9989648,0.0007010863,0.00009009473,0.00005185833,0.0001483476,0.00004370134],"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":[0.00001308037,0.000008987999,0.00039518,0.00001295859,0.000006805954,0.00002150987,0.00002206413,0.9971289,0.0003285628,0.001252306,0.00006500691,0.0007447072],"study_design_scores_gemma":[0.000005974351,0.000003913429,0.00006571789,0.000002361254,0.000002000468,0.000003122841,0.000005753334,0.9993194,0.00009972,0.0003127712,0.0001767776,0.000002398269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2491754,0.0006321857,0.7269322,0.0008329783,0.0002089118,0.0002240683,0.00136468,0.001130443,0.01949923],"genre_scores_gemma":[0.8893781,0.0005197092,0.09487204,0.0001261151,0.00009340621,0.0005847166,0.0007292348,0.0002348982,0.01346169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07633232,"threshold_uncertainty_score":0.1517761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003882197806816193,"score_gpt":0.1821846536072276,"score_spread":0.1783024558004114,"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."}}