{"id":"W2322090144","doi":"10.1021/es504010q","title":"Satellite Telemetry Informs PCB Source Apportionment in a Mobile, High Trophic Level Marine Mammal: The Ringed Seal (<i>Pusa hispida</i>)","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Fisheries and Oceans Canada; Royal Military College of Canada; University of Windsor; Raincoast Conservation Foundation; University of Victoria","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; ArcticNet","keywords":"Bay; Marine mammal; Environmental science; Trophic level; Telemetry; Sentinel species; Harbor seal; Pollution; Ecology; Fishery; Oceanography; Biology; Phoca","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":[0.000237962,0.0001579516,0.0001863073,0.0004935702,0.0002136538,0.0003502265,0.0001553708,0.0002259532,0.0008970983],"category_scores_gemma":[0.0004684707,0.0001301402,0.00009879974,0.0003486191,0.0002959416,0.0002623624,0.0003448981,0.0001553888,0.0003375487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001515214,"about_ca_system_score_gemma":0.000154931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005628416,"about_ca_topic_score_gemma":0.01477301,"domain_scores_codex":[0.9998925,0.00001889937,0.000006580065,0.00004491421,0.0000183323,0.00001874697],"domain_scores_gemma":[0.9995239,0.00006792668,0.0002487689,0.00003467556,0.00005876496,0.00006600905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008510102,0.00002586438,0.9781571,0.00002025558,0.00002590034,0.00008119095,0.0004578161,0.00008645295,0.0138483,0.0000220295,0.0001081505,0.007081871],"study_design_scores_gemma":[0.000002771982,0.0002356873,0.9972687,0.000004900682,0.00001589659,0.0001982295,0.0004150458,0.0003819696,0.001149228,0.00001792296,0.000306535,0.000003204565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999292,0.00003957426,0.0001848482,0.000007585955,0.00000163823,0.000004137196,0.0001864268,0.000006827578,0.000276796],"genre_scores_gemma":[0.9980813,0.00005832993,0.001230534,0.00001470542,0.000004980293,0.000008248694,0.0003802122,0.000002745986,0.000218979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005628416,"threshold_uncertainty_score":0.01119131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007611229937162855,"score_gpt":0.2021885251243501,"score_spread":0.1945772951871872,"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."}}