{"id":"W1656763009","doi":"10.1029/2003wr002440","title":"Bed load transport in managed steep‐gradient headwater streams of southeastern Alaska","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. Forest Service; Pacific Northwest Research Station; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; U.S. Department of Agriculture","keywords":"Bed load; STREAMS; Debris; Landslide; Hydrology (agriculture); Storm; Disturbance (geology); Debris flow; Channel (broadcasting); Riparian zone; Sediment; Sediment transport; Environmental science; Geology; Stream bed; Mass movement; Geomorphology; Geotechnical engineering; Ecology; Oceanography; Habitat","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":[0.0002278825,0.0001736084,0.0001775898,0.0005840284,0.0006593083,0.0005393899,0.0001762759,0.0001795658,0.0003689725],"category_scores_gemma":[0.0004420922,0.0001771274,0.0001240521,0.00057738,0.0004322683,0.0002692321,0.0003314571,0.00009331734,0.0000624537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017823,"about_ca_system_score_gemma":0.0005456968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06609175,"about_ca_topic_score_gemma":0.1694589,"domain_scores_codex":[0.9998882,0.00001780382,0.00001693506,0.00002920009,0.00002786106,0.0000199855],"domain_scores_gemma":[0.9997274,0.0000355817,0.0001207234,0.00001424716,0.00004718424,0.00005480049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001427305,0.00005791862,0.986094,0.00001609763,0.00002981486,0.0002491107,0.001186228,0.000781932,0.006693331,0.00003316314,0.00002783077,0.00468784],"study_design_scores_gemma":[0.000002930275,0.00005998407,0.997815,0.000003682728,0.00001096671,0.00005358121,0.0008099858,0.0006495838,0.0004453057,0.00002614731,0.0001189918,0.000003785333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998888,0.00001183662,0.00002515426,0.00000160371,2.965538e-7,0.00000121581,0.00001971114,0.000001206134,0.00005026648],"genre_scores_gemma":[0.9996399,0.00003528317,0.0001043911,0.00000245023,5.793658e-7,0.0000033673,0.00007247076,5.812381e-7,0.000141021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06609175,"threshold_uncertainty_score":0.1314141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457857047581229,"score_gpt":0.2669862831765296,"score_spread":0.2424077127007173,"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."}}