{"id":"W141244715","doi":"10.1023/a:1013379527586","title":"Retention of leaf litter in streams from riparian plantings in southern Ontario, Canada","year":2001,"lang":"en","type":"article","venue":"Agroforestry Systems","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Riparian zone; Channelized; Plant litter; Riparian buffer; STREAMS; Litter; Environmental science; Bank; Riparian forest; Hydrology (agriculture); Agronomy; Biology; Geology; Ecology; Ecosystem; Habitat; Geomorphology","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":[0.0002089735,0.0001684021,0.0003412431,0.0008292581,0.002290571,0.001139606,0.0006282299,0.0002841455,0.001081165],"category_scores_gemma":[0.0009036379,0.0002286418,0.0001522775,0.001518305,0.0006361827,0.0002887845,0.0004902343,0.0002768441,0.0001558439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01200338,"about_ca_system_score_gemma":0.01055192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9846196,"about_ca_topic_score_gemma":0.9977374,"domain_scores_codex":[0.9997966,0.00001885483,0.00001113688,0.00004140618,0.0000573512,0.00007474794],"domain_scores_gemma":[0.9992022,0.00007284206,0.0001581671,0.00001605205,0.0003185531,0.0002322248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001567649,0.00005895377,0.9850273,0.00004280671,0.00003032687,0.00026928,0.005613546,0.0001773944,0.001383799,0.00009396004,0.0005744541,0.00657129],"study_design_scores_gemma":[0.000005435435,0.00001510374,0.9966535,0.00001348685,0.000007931866,0.00003500655,0.002555242,0.0001749199,0.00006940775,0.00001876788,0.0004469272,0.000004206396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990579,0.00008760365,0.00002890113,0.00003693885,0.000002082249,0.000007775036,0.0002669918,0.000002039724,0.0005098264],"genre_scores_gemma":[0.9978089,0.000190433,0.0001247475,0.00003436706,0.0000020686,0.000007855134,0.0003295381,0.000002287383,0.001499912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538044,"threshold_uncertainty_score":0.08709103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007886801095287173,"score_gpt":0.1722242806167297,"score_spread":0.1643374795214426,"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."}}