{"id":"W157918832","doi":"10.1023/a:1025529409422","title":"Status and Trends of Ontario's Sydenham River Ecosystem in Relation to Aquatic Species at Risk","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Ontario Museum; GDG Environnement; University of Guelph; Ministry of Natural Resources and Forestry; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"Government of Canada; World Wildlife Fund","keywords":"Endangered species; Threatened species; Aquatic ecosystem; Ecology; Drainage basin; Environmental science; Water quality; Fishery; Ecosystem; Geography; Habitat; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002104159,0.00008031254,0.0001259356,0.001049892,0.001100392,0.0007995691,0.0004420354,0.0003381349,0.001742187],"category_scores_gemma":[0.00121132,0.0001700087,0.0001663435,0.001575822,0.0005595552,0.0003780994,0.0005195212,0.0002871217,0.0001975885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006186182,"about_ca_system_score_gemma":0.005821403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9407766,"about_ca_topic_score_gemma":0.9883094,"domain_scores_codex":[0.9997655,0.00001588862,0.00002105602,0.00003156226,0.00009100509,0.00007497442],"domain_scores_gemma":[0.9982997,0.0001023898,0.0005107227,0.00003405845,0.0006086359,0.0004445062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001003331,0.00001688917,0.9934285,0.00002544395,0.00002700651,0.0001089213,0.00164532,0.0001219557,0.0005158611,0.0001186916,0.0007277853,0.003163396],"study_design_scores_gemma":[0.000001312177,0.000009143989,0.9983766,0.000004799433,0.000004173822,0.00002691477,0.0008384501,0.00007615542,0.00002698148,0.00001154068,0.0006217488,0.00000216541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956785,0.000134869,0.00003399373,0.0001969175,0.00000302994,0.00001064334,0.001397677,0.000004409302,0.002539947],"genre_scores_gemma":[0.9959856,0.0002185069,0.0000951074,0.00004084628,0.000003046192,0.000008103324,0.0008518972,0.000002176775,0.00279472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05922335,"threshold_uncertainty_score":0.1191442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197300353338859,"score_gpt":0.2375592825894321,"score_spread":0.2255862790560435,"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."}}