{"id":"W2009080093","doi":"10.1021/es049331s","title":"Perfluoroalkyl Contaminants in a Food Web from Lake Ontario","year":2004,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":505,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"","keywords":"Sculpin; Trophic level; Salvelinus; Forage fish; Pelagic zone; Food web; Biology; Perfluorooctane; Biomagnification; Trout; Ecology; Environmental chemistry; Fishery; Chemistry; Predation; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006217773,0.0002161641,0.0001986693,0.0009255943,0.002223237,0.0007124168,0.0002032593,0.0002059165,0.001718688],"category_scores_gemma":[0.0002485948,0.0002178651,0.0001626708,0.00137825,0.0002876598,0.0001920203,0.0005002894,0.0001330136,0.0002274789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005009785,"about_ca_system_score_gemma":0.003343633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8873547,"about_ca_topic_score_gemma":0.9680749,"domain_scores_codex":[0.999869,0.000003496197,0.000005405873,0.00002807657,0.00005959266,0.00003450481],"domain_scores_gemma":[0.9997737,0.000009059146,0.00004571381,0.00000430116,0.0001252602,0.00004193023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000163814,0.00003296274,0.9336716,0.0001344959,0.00005423351,0.0006186604,0.005240507,0.0001236589,0.04641771,0.00008011363,0.0008111495,0.01265098],"study_design_scores_gemma":[0.000001443679,0.00001560921,0.99679,0.000007245526,0.000009405245,0.00006497521,0.0008462611,0.00009412187,0.0003754451,0.000009734962,0.001781957,0.000003772832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976267,0.0001401745,0.00005759658,0.00002845522,0.000001587174,0.00001608389,0.0006802076,0.000004561858,0.001444612],"genre_scores_gemma":[0.9937629,0.0003577448,0.0004847378,0.0000669822,0.000002540468,0.00002403503,0.001439358,0.000005465711,0.003856277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1126453,"threshold_uncertainty_score":0.2266173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008646012865957129,"score_gpt":0.22018654464277,"score_spread":0.2115405317768129,"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."}}