{"id":"W4308966208","doi":"10.2166/nh.2022.070","title":"Spatial–temporal variability of seasonal daily minimum flows in southern Quebec: synthesis on the impacts of climate, agriculture and wetlands","year":2022,"lang":"en","type":"article","venue":"Hydrology research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Environmental science; Wetland; Shore; Snow; Spatial variability; Hydrology (agriculture); Agriculture; Climatology; Physical geography; Geography; Ecology; Meteorology; Oceanography; Geology","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":[0.0005698522,0.0002345545,0.0002740797,0.001312956,0.0006540567,0.0008319074,0.0004357246,0.0002023626,0.002882967],"category_scores_gemma":[0.001276715,0.00009597676,0.000393034,0.004304772,0.0003010718,0.000242249,0.000317039,0.0002639717,0.0001452666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008702725,"about_ca_system_score_gemma":0.008019949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914241,"about_ca_topic_score_gemma":0.99379,"domain_scores_codex":[0.9997483,0.00003465154,0.000016066,0.00006051577,0.00006882921,0.00007160976],"domain_scores_gemma":[0.9988172,0.0002048736,0.0001642768,0.00005197458,0.0006545684,0.0001071417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001057035,0.00001881106,0.9767221,0.00008870606,0.0001966415,0.00009218044,0.0004557813,0.001876251,0.0007300524,0.0001330927,0.002415001,0.01716579],"study_design_scores_gemma":[0.000001494295,0.000004671506,0.9978935,0.00001269346,0.00001670935,0.000006891626,0.0002401686,0.0005484782,0.00003429058,0.000008049769,0.001228645,0.00000443821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806595,0.001729734,0.000558623,0.0003146846,0.000017392,0.00002381993,0.01293451,0.00004670313,0.003715015],"genre_scores_gemma":[0.9945669,0.0004069899,0.0002596691,0.00003651845,0.00000759749,0.00001131838,0.003807072,0.000006382815,0.0008975377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008702725,"threshold_uncertainty_score":0.06314301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733667903258796,"score_gpt":0.2603084159465646,"score_spread":0.2429717369139767,"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."}}