{"id":"W2065969305","doi":"10.1007/s10750-007-0619-4","title":"Effectiveness of best management practices in improving stream ecosystem quality","year":2007,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto and Region Conservation Authority; Western University","funders":"","keywords":"Watershed; Environmental science; Ecosystem services; Structural basin; Water quality; Ecosystem; Habitat; STREAMS; Watershed management; Drainage basin; Environmental resource management; Benthic zone; Hydrology (agriculture); Water resource management; Ecology; Geography; Engineering; Geology","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":[0.006836489,0.0003452623,0.0004623023,0.0009647295,0.0007580087,0.001240158,0.0005832618,0.000880968,0.0008893416],"category_scores_gemma":[0.0202128,0.0001581562,0.0003569164,0.000808248,0.0004100933,0.0012037,0.0006370944,0.0004807555,0.00008317459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909164,"about_ca_system_score_gemma":0.002460015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005691399,"about_ca_topic_score_gemma":0.021303,"domain_scores_codex":[0.9948781,0.002154626,0.0003756084,0.0005597397,0.00176785,0.0002640732],"domain_scores_gemma":[0.9868688,0.006429005,0.003298051,0.0009957899,0.001425178,0.0009832551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003150455,0.01199786,0.2937051,0.0008570574,0.001438699,0.0003117104,0.00199218,0.02308547,0.01097009,0.001757749,0.00214073,0.6485928],"study_design_scores_gemma":[0.000807317,0.01237312,0.9208757,0.0009374145,0.001839102,0.0005978116,0.003321619,0.03475538,0.01057812,0.006116828,0.007674973,0.0001227679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944893,0.0007541287,0.00100868,0.000599863,0.00003251285,0.00005808287,0.00004824028,0.00002987282,0.002979359],"genre_scores_gemma":[0.995793,0.0002591147,0.003560423,0.0001010797,0.00001886923,0.00002826901,0.00002733913,0.000003640503,0.0002083851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006836489,"threshold_uncertainty_score":0.03615522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082964323620048,"score_gpt":0.2648468690390076,"score_spread":0.2440172258028071,"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."}}