{"id":"W2042239147","doi":"10.1002/hyp.1349","title":"Spring flood analysis using the flood‐duration–frequency approach: application to the provinces of Quebec and Ontario, Canada","year":2003,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flood myth; Duration (music); 100-year flood; Return period; Homogeneous; Hydrology (agriculture); Frequency analysis; Environmental science; Spring (device); Physical geography; Geography; Statistics; Geology; Mathematics; Engineering; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004275805,0.0001332292,0.0002135905,0.0000298665,0.0003746987,0.00002811682,0.0002972272,0.00006955135,0.0002796465],"category_scores_gemma":[0.000185002,0.00006959685,0.00004654733,0.001060775,0.0002544927,0.0001190849,0.00007886229,0.0001370708,0.000004505207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286824,"about_ca_system_score_gemma":0.0001801201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.937965,"about_ca_topic_score_gemma":0.9974319,"domain_scores_codex":[0.998758,0.0001237993,0.000275929,0.0003621266,0.0002665123,0.0002136265],"domain_scores_gemma":[0.9993936,0.0001102698,0.0001405258,0.0002698479,0.00002108347,0.00006470901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001470641,0.00009398384,0.776089,0.00001979046,0.0001956145,0.000001945183,0.0009388693,0.2205947,0.001022301,0.0005806062,0.00004198293,0.0004065156],"study_design_scores_gemma":[0.0007112805,0.0003576266,0.7542108,0.0000163294,0.004899504,0.00005637539,0.001924678,0.19381,0.009690776,0.008518239,0.02433894,0.001465425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808471,0.0002107645,0.01501228,0.0005387138,0.0000109133,0.0002654179,0.000002102812,0.00001200906,0.003100752],"genre_scores_gemma":[0.9979545,0.00000640954,0.001373146,0.0004485171,0.00001373234,0.00005362741,0.000003727533,0.000003741684,0.0001425688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0594669,"threshold_uncertainty_score":0.3061933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135201146985155,"score_gpt":0.206067486093272,"score_spread":0.1947154746234205,"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."}}