{"id":"W2612758465","doi":"10.3390/w9050337","title":"The Winter Environmental Continuum of Two Watersheds","year":2017,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Environmental science; Turbidity; STREAMS; Temperate climate; Water quality; Breakup; Hydrology (agriculture); Watershed; Fluvial; Channel (broadcasting); Aquatic ecosystem; Surface runoff; Snow; Habitat; Physical geography; Ecology; Geology; Geography; Oceanography; Structural basin; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002527669,0.00009583757,0.0002281127,0.000645925,0.0009502822,0.001207132,0.0003104577,0.0002238187,0.000936899],"category_scores_gemma":[0.0005102773,0.0001032447,0.00015521,0.001153356,0.0006901747,0.0003859569,0.0006989344,0.0002510836,0.00005472114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004490644,"about_ca_system_score_gemma":0.002352182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4003503,"about_ca_topic_score_gemma":0.5771656,"domain_scores_codex":[0.9997911,0.00002967039,0.000007718078,0.00004815099,0.00003929425,0.00008405469],"domain_scores_gemma":[0.9995752,0.00004851723,0.00007421037,0.00001642818,0.000116497,0.0001691407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002687188,0.0001027684,0.9777678,0.00001832244,0.0000320389,0.000298327,0.002996352,0.0006854725,0.006831255,0.0004852907,0.00029079,0.01022283],"study_design_scores_gemma":[0.000002878928,0.00002263448,0.996938,0.00000367284,0.000003889361,0.00002508048,0.002030983,0.0004050311,0.0001207966,0.00005505351,0.0003878374,0.000004314588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986452,0.00001571277,0.0001746175,0.00002703534,9.09274e-7,0.000009431579,0.000166347,0.000007462289,0.0009532096],"genre_scores_gemma":[0.9987397,0.00001953717,0.0003590526,0.00002940702,0.000001400805,0.00001557913,0.0004682607,0.000003242121,0.0003637882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4003503,"threshold_uncertainty_score":0.7960401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007678325150611083,"score_gpt":0.2195556076360395,"score_spread":0.2118772824854284,"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."}}