{"id":"W2116731347","doi":"10.1080/10937400802545078","title":"Osprey: Worldwide Sentinel Species for Assessing and Monitoring Environmental Contamination in Rivers, Lakes, Reservoirs, and Estuaries","year":2009,"lang":"en","type":"review","venue":"Journal of Toxicology and Environmental Health Part B","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sentinel species; Biomagnification; Population; Apex predator; Environmental science; Ecology; Bioaccumulation; Wildlife; Nest (protein structural motif); Predation; Biology; Fishery; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001453214,0.0006980311,0.0003264093,0.001235035,0.0002919331,0.0003646775,0.0004772716,0.0003258453,0.003217472],"category_scores_gemma":[0.0008835946,0.0001942521,0.000180378,0.0007801087,0.0002021628,0.0008081314,0.0008279542,0.0003555212,0.002141772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003241746,"about_ca_system_score_gemma":0.000600032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003952008,"about_ca_topic_score_gemma":0.01013335,"domain_scores_codex":[0.9993953,0.0001419842,0.00008235575,0.0001179092,0.0001926202,0.00006984185],"domain_scores_gemma":[0.9987711,0.0000669273,0.000494136,0.00006482141,0.0003797925,0.0002231223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001324538,0.0004031893,0.4164873,0.001235525,0.0002068092,0.000518028,0.0005946648,0.0007363256,0.1658318,0.001053571,0.0584233,0.3531849],"study_design_scores_gemma":[0.00007995454,0.002994495,0.7383925,0.0004105125,0.000341286,0.002733759,0.001085115,0.002645996,0.06024081,0.0003618089,0.1906107,0.0001031265],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8099675,0.007055033,0.06425589,0.0007920054,0.0004748553,0.002048626,0.04755017,0.005958125,0.06189787],"genre_scores_gemma":[0.764567,0.005734298,0.1469871,0.0009470832,0.0001813243,0.001745504,0.04988139,0.0003078545,0.02964851],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003952008,"threshold_uncertainty_score":0.01076347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04049195433825276,"score_gpt":0.327336074041935,"score_spread":0.2868441197036822,"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."}}