{"id":"W2297765816","doi":"10.15273/pnsis.v42i2.3609","title":"DEVELOPING AN INDEX OF SUSTAINABLE COLDWATER STREAMS USING FISH COMMUNITY ATTRIBUTES IN RIVER PHILIP, NOVA SCOTIA","year":2004,"lang":"en","type":"article","venue":"Proceedings of the Nova Scotian Institute of Science","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; Dalhousie University","funders":"Dalhousie University; Faculty of Graduate Studies, Dalhousie University; Department of Agriculture, Nova Scotia","keywords":"STREAMS; Index of biological integrity; Habitat; Salvelinus; Trout; Catostomus; Fishery; Watershed; Environmental science; Species richness; Water quality; Ecology; Aquatic ecosystem; Nova scotia; Geography; Fish <Actinopterygii>; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004877369,0.0003527739,0.000213225,0.002237375,0.0003983038,0.001110109,0.0003001155,0.0001614245,0.0006141599],"category_scores_gemma":[0.001369469,0.0001586421,0.0002045847,0.002257813,0.0002824555,0.0003197354,0.0005958973,0.0002195553,0.0001167582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003530422,"about_ca_system_score_gemma":0.002553106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7510277,"about_ca_topic_score_gemma":0.8827757,"domain_scores_codex":[0.9996914,0.00003369149,0.0000326185,0.00007397626,0.0001063269,0.00006202774],"domain_scores_gemma":[0.9990276,0.00007100371,0.0001997541,0.00003066702,0.0005461805,0.0001248008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003705085,0.00002165115,0.9750119,0.00005353466,0.00005422184,0.00008748379,0.0002763541,0.003187955,0.001362274,0.0001888744,0.0007439521,0.01897455],"study_design_scores_gemma":[0.000003534896,0.00002203263,0.992397,0.00002906391,0.0000122129,0.00002974798,0.0005527143,0.005634719,0.0002194413,0.00005533479,0.00103785,0.000006355966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902137,0.0001836298,0.002234627,0.00005090012,0.00001169106,0.0001747392,0.002938815,0.00002958977,0.00416232],"genre_scores_gemma":[0.9918011,0.000144871,0.004245978,0.0000208947,0.000003659244,0.00009576428,0.002296055,0.000007383661,0.001384378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2489723,"threshold_uncertainty_score":0.500877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03792171408665612,"score_gpt":0.2646227193864913,"score_spread":0.2267010052998352,"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."}}