{"id":"W2076348964","doi":"10.1021/es049051c","title":"PCBs and OCPs in Sediment Cores from the Lower St. Lawrence Estuary, Canada:  Evidence of Fluvial Inputs and Time Lag in Delivery to Coring Sites","year":2005,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fundación Alfonso Martín Escudero","keywords":"Estuary; Fluvial; Coring; Sediment; Hydrology (agriculture); Sedimentary rock; Environmental science; Bioturbation; Sink (geography); Geology; Oceanography; Geomorphology; Geochemistry; Drilling","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":[0.0002031614,0.000335299,0.0002356929,0.001491201,0.001284809,0.0007697575,0.0003987865,0.0002423544,0.0007296705],"category_scores_gemma":[0.0004793372,0.0003132552,0.0001567711,0.002557407,0.0004187226,0.0001612729,0.0003458892,0.0002079388,0.0001867263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006174926,"about_ca_system_score_gemma":0.00602202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9699572,"about_ca_topic_score_gemma":0.991666,"domain_scores_codex":[0.9996687,0.00001243571,0.00002417888,0.00006935201,0.0001218433,0.0001035769],"domain_scores_gemma":[0.9990183,0.00004054484,0.0001646934,0.00001794949,0.0006101679,0.0001483456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001394104,0.00003083223,0.9745456,0.0000428581,0.0000390389,0.0001603952,0.001048012,0.0002074785,0.01895286,0.0000372303,0.0002816975,0.004514476],"study_design_scores_gemma":[0.000001829717,0.00001131064,0.9980708,0.0000037112,0.000006635329,0.00001808508,0.0003174767,0.0001132175,0.001046523,0.000002574489,0.0004049503,0.00000296215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997681,0.00009023254,0.00007535143,0.00001685296,0.000001640998,0.000009986408,0.001273854,0.00001265301,0.0008383159],"genre_scores_gemma":[0.993894,0.0001854092,0.0003672039,0.00004261545,0.000001748843,0.00001510272,0.002660607,0.000006852872,0.002826354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03004277,"threshold_uncertainty_score":0.06043935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006598857482609575,"score_gpt":0.2040614710551287,"score_spread":0.1974626135725191,"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."}}