{"id":"W3162807589","doi":"10.1016/j.jglr.2021.04.022","title":"Spatiotemporal trends of polychlorinated biphenyls (PCBs) in surface and suspended sediments from the Lake Ontario Canadian nearshore 1994–2018: A fish consumption advisory perspective","year":2021,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Environmental science; Sediment; Bay; Bioaccumulation; Context (archaeology); Hydrology (agriculture); Water column; Water quality; Contamination; Fishery; Oceanography; Environmental chemistry; Ecology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003076231,0.0003377398,0.0002478448,0.001535416,0.001678951,0.001175686,0.0005472179,0.0004122313,0.001564091],"category_scores_gemma":[0.0006803721,0.0002626838,0.000355215,0.004750328,0.00040799,0.0003484846,0.0005866949,0.0004493849,0.0002549549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01766717,"about_ca_system_score_gemma":0.02559361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953804,"about_ca_topic_score_gemma":0.9983786,"domain_scores_codex":[0.9995477,0.00001551605,0.00002457016,0.00006275652,0.0002318514,0.0001176106],"domain_scores_gemma":[0.9983585,0.00003519351,0.0002379874,0.00001998271,0.001200207,0.0001479296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001363188,0.00002369903,0.968272,0.0001735225,0.0001206887,0.0001439746,0.001949714,0.0002857767,0.002383397,0.0001903716,0.01084918,0.01547136],"study_design_scores_gemma":[0.000001903564,0.000008127538,0.9928131,0.00002001037,0.00002157046,0.00001353032,0.0006205566,0.00007025644,0.0001098596,0.000008955551,0.006306636,0.000005489119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490125,0.002977987,0.0003701323,0.002769694,0.00005545071,0.00005407619,0.03478829,0.00004442132,0.00992745],"genre_scores_gemma":[0.9643852,0.004866167,0.0009770634,0.0006923021,0.00005105112,0.00005002524,0.01484206,0.00002166127,0.01411452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01766717,"threshold_uncertainty_score":0.1281849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05198498450390237,"score_gpt":0.3154884823875891,"score_spread":0.2635034978836868,"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."}}