{"id":"W1976522230","doi":"10.1002/rra.1423","title":"Comparison of the interannual and interdecadal variability of heavy flood characteristics upstream and downstream from dams in inversed hydrologic regime: Case study of Matawin River (Québec, Canada)","year":2010,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Environmental science; Flood myth; Magnitude (astronomy); Upstream and downstream (DNA); Hydrology (agriculture); Snowmelt; Spring (device); Downstream (manufacturing); Climatology; Upstream (networking); Geology; Snow; Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002910244,0.0001929221,0.000163242,0.0008714208,0.0008984563,0.0007071707,0.0005491582,0.0002869359,0.001234816],"category_scores_gemma":[0.000851392,0.0001137946,0.0002680381,0.002168588,0.0004986956,0.0002038071,0.0003858489,0.0003432944,0.00009270623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00981369,"about_ca_system_score_gemma":0.004040435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.981556,"about_ca_topic_score_gemma":0.9879182,"domain_scores_codex":[0.9997955,0.00002900909,0.000008983838,0.00004994947,0.00004191435,0.00007469456],"domain_scores_gemma":[0.9990706,0.0001449086,0.000156637,0.00004788991,0.0003801054,0.0001998807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005065763,0.00003415756,0.9903955,0.00001706391,0.00007976573,0.0004433592,0.0008951705,0.001616515,0.001327424,0.0001648696,0.0004850126,0.004490492],"study_design_scores_gemma":[0.000002191468,0.000006729328,0.9971179,0.000003894049,0.00000872291,0.00003759314,0.0007468871,0.001596759,0.00007896325,0.0000107646,0.0003836062,0.00000615135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998487,0.00007308347,0.00008990586,0.00006784509,0.000001443676,0.00000706412,0.0007145033,0.0000050463,0.0005540735],"genre_scores_gemma":[0.9988666,0.00004480476,0.0000946666,0.00001484507,0.000001352192,0.000004610899,0.0005403218,0.000002220575,0.0004306884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.018444,"threshold_uncertainty_score":0.07120371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256582821556706,"score_gpt":0.3108981829144022,"score_spread":0.2883323546988352,"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."}}