{"id":"W2891658718","doi":"10.22215/etd/2016-11641","title":"Organophosphate Ester Contaminants in Herring Gulls (Larus argentatus) from the Great Lakes of North America: Bioaccumulation, Exposure, Pharmacokinetics and Trends","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Larus; Herring gull; Bioaccumulation; Herring; Food web; Chemistry; Environmental chemistry; Phosphate; Biomagnification; Polybrominated diphenyl ethers; Fishery; Fish <Actinopterygii>; Biology; Biochemistry; Ecology; Pollutant; Predation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001343375,0.0003602622,0.000221864,0.0007143796,0.0004011492,0.0003391293,0.0001221167,0.0002260125,0.0004724138],"category_scores_gemma":[0.00017313,0.0001487467,0.0001380765,0.0005189995,0.0001822679,0.0001972108,0.0001880101,0.0001946856,0.0001252558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005403991,"about_ca_system_score_gemma":0.0002868776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0591286,"about_ca_topic_score_gemma":0.1589096,"domain_scores_codex":[0.9999163,0.000009487102,0.000007292705,0.00003071819,0.00002261111,0.00001352064],"domain_scores_gemma":[0.9997725,0.0000199322,0.00009379934,0.000006657941,0.00007040317,0.00003674013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001780471,0.00005654094,0.9733428,0.0000777816,0.00005998203,0.0002256684,0.0009926073,0.00007102502,0.017812,0.00001034265,0.0001687709,0.007004436],"study_design_scores_gemma":[0.000001114118,0.0000842394,0.9990789,0.000002630457,0.00001522467,0.00008394764,0.0002566526,0.00003169026,0.0002667986,0.000002142542,0.0001749509,0.000001743642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999368,0.0002028008,0.00002216305,0.0000144557,8.851485e-7,0.000003200872,0.0001874542,0.000002411394,0.0001985906],"genre_scores_gemma":[0.9982758,0.0004614769,0.0001789408,0.00002841278,0.000002980138,0.00001234941,0.0005060675,0.000002043655,0.0005319373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9408714,"threshold_uncertainty_score":0.1175689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154281910508956,"score_gpt":0.2538459450662255,"score_spread":0.242303125961136,"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."}}