{"id":"W2045144090","doi":"10.1007/s10533-011-9597-8","title":"Runoff sources and land cover change in the Amazon: an end-member mixing analysis from small watersheds","year":2011,"lang":"en","type":"article","venue":"Biogeochemistry","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Surface runoff; Hydrology (agriculture); Environmental science; Streamflow; STREAMS; Watershed; Subsurface flow; Pasture; Baseflow; Throughfall; Drainage basin; Groundwater; Geology; Ecology; Soil water; Geography; Soil science; Forestry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004062043,0.0002142756,0.0003907811,0.0006612855,0.0008113956,0.0007890993,0.0004525494,0.0003284437,0.0004694772],"category_scores_gemma":[0.001216199,0.0002447424,0.0004403928,0.000826998,0.0003793254,0.0005337567,0.0006550648,0.0002276329,0.00009344896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007590366,"about_ca_system_score_gemma":0.0004267537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07685307,"about_ca_topic_score_gemma":0.07597213,"domain_scores_codex":[0.9998412,0.00004062714,0.0000144724,0.0000382065,0.00002605889,0.00003938496],"domain_scores_gemma":[0.9994897,0.0001807472,0.0001035136,0.00004660726,0.00009532057,0.00008404337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002228539,0.00009706277,0.9796204,0.00001061961,0.0001169823,0.0001804504,0.001038439,0.00112394,0.01322443,0.0001930338,0.00007101494,0.004100909],"study_design_scores_gemma":[0.00001329665,0.0000283603,0.9933519,0.000001930605,0.00007149402,0.00006083766,0.0006210056,0.004554256,0.0010481,0.00007485023,0.00016647,0.000007449456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997553,0.000009074024,0.00008472383,0.0000089084,2.256405e-7,0.000001823611,0.00004404655,0.000002423868,0.00009345504],"genre_scores_gemma":[0.9996479,0.00001232861,0.0001194173,0.000003587206,0.000001329978,0.000002642176,0.0001515355,0.000004181752,0.00005707718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07685307,"threshold_uncertainty_score":0.1528115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270147797527361,"score_gpt":0.2191391198126505,"score_spread":0.1864376418373769,"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."}}