{"id":"W2038954180","doi":"10.1016/s0045-6535(00)00311-8","title":"A gas chromatography/high-resolution mass spectrometry (GC/HRMS) method for determination of polybrominated diphenyl ethers in fish","year":2001,"lang":"en","type":"article","venue":"Chemosphere","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Environment and Climate Change Canada","funders":"","keywords":"Polybrominated diphenyl ethers; Trout; Mass spectrometry; Detection limit; Diphenyl ether; Chemistry; Chromatography; Gas chromatography; Selected ion monitoring; Environmental chemistry; Certified reference materials; Gas chromatography–mass spectrometry; Fishery; Fish <Actinopterygii>; Biology; Pollutant; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000443932,0.0002102054,0.0002954988,0.00004845786,0.00005467577,0.00001838414,0.0003004076,0.000178876,0.002630651],"category_scores_gemma":[0.0001762152,0.0002094399,0.0001117792,0.001060015,0.0001357102,0.0002584192,0.00006021522,0.0001395159,0.00002631587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004207528,"about_ca_system_score_gemma":0.00002160329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003073926,"about_ca_topic_score_gemma":0.0004899723,"domain_scores_codex":[0.9984058,0.00006916805,0.0003630173,0.0003880087,0.0002989279,0.000475114],"domain_scores_gemma":[0.999212,0.0001247098,0.0002050042,0.0003429188,0.000004448192,0.000110958],"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":[0.0001313208,0.0001801431,0.01619116,0.00002463717,0.0000208777,0.00001191795,0.000345863,0.00008238931,0.8237547,0.00001247225,0.0004294702,0.158815],"study_design_scores_gemma":[0.002416913,0.0002757916,0.3317859,0.00007016426,0.0000512679,0.00004396472,0.0004214318,0.02161192,0.6387277,0.003504012,0.0006141992,0.0004768106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420761,0.00005194389,0.0542721,0.0003264196,0.0001039369,0.0004731992,0.00006069832,0.00006797984,0.0025676],"genre_scores_gemma":[0.909154,0.00002843768,0.09042716,0.00009370018,0.00002790146,0.00001503853,0.000004999283,0.00003526124,0.0002135118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3155947,"threshold_uncertainty_score":0.9982811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008411522712752776,"score_gpt":0.2522548520821557,"score_spread":0.2438433293694029,"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."}}