{"id":"W1981206928","doi":"10.1139/f05-020","title":"Determination of optimal riparian forest buffer dimensions for stream biotalandscape association models using multimetric and multivariate responses","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Purdue University","keywords":"Riparian zone; Ecoregion; Multivariate statistics; Biota; Environmental science; Partial correlation; Hydrology (agriculture); Riparian buffer; Buffer zone; Ecology; Correlation; Statistics; Habitat; Mathematics; Geology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00428766,0.0005603373,0.0006872264,0.0007121235,0.0003505457,0.001157962,0.0008630287,0.000424636,0.0005862284],"category_scores_gemma":[0.0108718,0.0005541714,0.0006342397,0.0004444532,0.0004529527,0.0009518625,0.001239902,0.0006485176,0.00008335475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000819125,"about_ca_system_score_gemma":0.001372048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006602607,"about_ca_topic_score_gemma":0.01309694,"domain_scores_codex":[0.9988716,0.0007317576,0.00006272873,0.0001552348,0.00007034496,0.0001082785],"domain_scores_gemma":[0.9960797,0.002828389,0.0005280972,0.0001588067,0.0002492262,0.0001557341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004504632,0.0002099066,0.1499071,0.00006388476,0.0002581794,0.0001248389,0.0002766168,0.8089097,0.002970743,0.004149326,0.0003304415,0.03234887],"study_design_scores_gemma":[0.00005000373,0.0001040843,0.0167063,0.00001734595,0.00005726912,0.00003250958,0.0001307769,0.9787214,0.001048448,0.00291285,0.0001928721,0.00002602297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8688462,0.00009643433,0.1299805,0.0001007719,0.000004098379,0.00007745,0.0001264043,0.0001237166,0.0006444671],"genre_scores_gemma":[0.9514892,0.00003739747,0.04797483,0.00001594521,0.00000338346,0.0001062533,0.000151013,0.00002237403,0.0001996535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006602607,"threshold_uncertainty_score":0.02267557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780747662046478,"score_gpt":0.2462670334108393,"score_spread":0.2184595567903745,"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."}}