{"id":"W1877643973","doi":"10.22230/jem.2009v10n2a426","title":"Detecting effects of upper basin riparian harvesting at downstream reaches using stream indicators","year":2009,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; University of Waterloo","funders":"Natural Resources Canada; U.S. Forest Service; Ministry of Environment; Canadian Forest Service; Government of Canada","keywords":"Riparian zone; Environmental science; STREAMS; Hydrology (agriculture); Channel (broadcasting); Debris; Watershed; Bank; Riparian forest; Riparian buffer; Bank erosion; Habitat; Sediment; Ecology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001421534,0.0002612919,0.0002410167,0.00118106,0.0003879045,0.0007072031,0.0003198411,0.0001746386,0.001039091],"category_scores_gemma":[0.00377661,0.000189881,0.0001942861,0.001331466,0.0004295668,0.0004852793,0.0008365159,0.0002394717,0.000134904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005029083,"about_ca_system_score_gemma":0.000413805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009647383,"about_ca_topic_score_gemma":0.04416953,"domain_scores_codex":[0.9987817,0.0003987262,0.0001328634,0.0001732003,0.0003549874,0.0001585633],"domain_scores_gemma":[0.9964592,0.00105609,0.001449259,0.0001769423,0.0005571332,0.000301402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007603581,0.00003866464,0.9935685,0.0000112003,0.00001522446,0.00004377702,0.0003442088,0.000247739,0.001618437,0.0000297075,0.00003823073,0.003968195],"study_design_scores_gemma":[7.589779e-7,0.00006933288,0.9989269,0.000002649214,0.000005182905,0.00001173732,0.0002654472,0.0003181657,0.000312668,0.00001285691,0.00007235073,0.000001746191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992218,0.00001026061,0.0001309096,0.00000442523,4.66608e-7,0.000009827993,0.00007589935,0.000003191261,0.0005431731],"genre_scores_gemma":[0.9991475,0.00001690684,0.0003291435,0.000006862014,0.000001081251,0.0000148792,0.0001980743,0.000001786218,0.0002838307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009647383,"threshold_uncertainty_score":0.01918244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007157910244019082,"score_gpt":0.2080788323723931,"score_spread":0.200920922128374,"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."}}