{"id":"W4309029396","doi":"10.1016/j.chemosphere.2022.137245","title":"Development and validation of a modified QuEChERS method for extracting polychlorinated biphenyls and organochlorine pesticides from marine mammal blubber","year":2022,"lang":"en","type":"article","venue":"Chemosphere","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University; Fonds de recherche du Québec – Nature et technologies; University of Connecticut; SeaWorld and Busch Gardens Conservation Fund","keywords":"Blubber; Quechers; Organochlorine pesticide; Environmental chemistry; Marine mammal; Pesticide; Environmental science; Polychlorinated biphenyl; Toxaphene; Chemistry; Fishery; Pesticide residue; Ecology; Biology","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":[0.002139541,0.001136769,0.0006863379,0.001661751,0.0008844092,0.0007181889,0.001379746,0.002100225,0.001312534],"category_scores_gemma":[0.001713085,0.0005398983,0.000684535,0.000469362,0.0009534232,0.0006745636,0.0007646934,0.0009410945,0.001195148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008090309,"about_ca_system_score_gemma":0.002004765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102549,"about_ca_topic_score_gemma":0.03118862,"domain_scores_codex":[0.9969811,0.0004038614,0.0001676563,0.0009092721,0.001407292,0.0001307855],"domain_scores_gemma":[0.9986706,0.0002569892,0.0001722033,0.0001595136,0.0006645499,0.00007626666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005387886,0.00004305079,0.001278407,0.00007594848,0.00004054922,0.00006745721,0.00006847757,0.0001396357,0.9867573,0.0001072883,0.00009455493,0.01127351],"study_design_scores_gemma":[0.00003704067,0.0009221027,0.02137335,0.00005337479,0.0001793512,0.001452712,0.0001232391,0.005448257,0.9583864,0.0001541409,0.01178766,0.00008227508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4897918,0.008286004,0.4895049,0.000671439,0.00048331,0.001955535,0.001881837,0.00156738,0.005857691],"genre_scores_gemma":[0.374834,0.004519943,0.587265,0.0009569043,0.0001090558,0.001235145,0.003014188,0.0002361125,0.02782958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0102549,"threshold_uncertainty_score":0.02039039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840267378023185,"score_gpt":0.2522619088734376,"score_spread":0.2238592350932058,"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."}}