{"id":"W4235378210","doi":"10.3133/sir20045154","title":"Biomonitoring of Environmental Status and Trends (BEST) Program: Environmental contaminants and their effects on fish in the Columbia River Basin","year":2004,"lang":"en","type":"article","venue":"Scientific investigations report","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; U.S. Geological Survey; Canada Excellence Research Chairs, Government of Canada; University of Florida; Mississippi State University","keywords":"Biomonitoring; Environmental science; Drainage basin; Water quality; Fishery; Carp; Catostomus; Fish <Actinopterygii>; Sampling (signal processing); Benthic zone; Hydrology (agriculture); Freshwater fish; Ecology; Geography; Biology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00040008,0.0002312111,0.00009322386,0.001182235,0.0007107073,0.0003273009,0.0002852714,0.0001222693,0.001874205],"category_scores_gemma":[0.0005449737,0.0001535674,0.00005938729,0.001103958,0.0001508954,0.0001712892,0.0002884318,0.0002072526,0.0002787029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476675,"about_ca_system_score_gemma":0.00279019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6673627,"about_ca_topic_score_gemma":0.8916242,"domain_scores_codex":[0.9998054,0.00002409448,0.000007978302,0.0000267811,0.000114286,0.00002147312],"domain_scores_gemma":[0.999428,0.00003941951,0.00008599139,0.00001996029,0.0003558318,0.0000707709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007934256,0.00008986302,0.9404094,0.0000621428,0.0000380349,0.00006154734,0.0002206913,0.0002993087,0.003355904,0.00005019315,0.008520049,0.04681358],"study_design_scores_gemma":[0.000005557536,0.000030028,0.9955406,0.0000196013,0.00001350454,0.00001750366,0.0001376234,0.0003273516,0.0008896799,0.00001697174,0.002998371,0.000003189714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734051,0.0007494763,0.0006787473,0.0003325609,0.00001025979,0.0002407751,0.01614619,0.00006772998,0.008369154],"genre_scores_gemma":[0.9608726,0.001074796,0.003918062,0.0001314031,0.00001113912,0.0002442975,0.0106029,0.00002262965,0.02312215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6673627,"threshold_uncertainty_score":0.6691924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009884467637102405,"score_gpt":0.2219897979694824,"score_spread":0.21210533033238,"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."}}