{"id":"W2011670059","doi":"10.1007/s00216-009-3279-6","title":"Development of liquid chromatography atmospheric pressure chemical ionization tandem mass spectrometry for analysis of halogenated flame retardants in wastewater","year":2009,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Ministry of the Environment, Conservation and Parks; Brock University","funders":"","keywords":"Atmospheric-pressure chemical ionization; Chemistry; Chromatography; Mass spectrometry; Liquid chromatography–mass spectrometry; Direct electron ionization liquid chromatography–mass spectrometry interface; Tandem mass spectrometry; Atmospheric pressure; Analytical Chemistry (journal); Chemical ionization; Ionization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001793158,0.001006284,0.0008233696,0.001181144,0.0006933698,0.0009051959,0.001404144,0.001585872,0.0007756119],"category_scores_gemma":[0.001798741,0.000771316,0.0007179494,0.0004431133,0.0006260957,0.00118797,0.0007753603,0.001208554,0.001236356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006640978,"about_ca_system_score_gemma":0.002079661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581923,"about_ca_topic_score_gemma":0.002689512,"domain_scores_codex":[0.9984481,0.0001928844,0.00008270669,0.0002783512,0.0009281001,0.00006971227],"domain_scores_gemma":[0.9989171,0.0001946338,0.0001078707,0.00005726262,0.0006264153,0.00009681622],"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":[0.0001308884,0.0001170089,0.0007138615,0.0000979203,0.00003350037,0.00006945272,0.00002920689,0.0002059742,0.9778016,0.0002057953,0.0001646212,0.02043018],"study_design_scores_gemma":[0.00002579301,0.0003373817,0.001543973,0.0000110087,0.00003193065,0.0004690466,0.00001399638,0.004695105,0.9898343,0.0001124458,0.002900747,0.00002418527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4790662,0.01069377,0.4923733,0.001586339,0.0005648951,0.0016074,0.00152415,0.005202681,0.007381149],"genre_scores_gemma":[0.5556412,0.005489098,0.4261456,0.001397351,0.000179774,0.0009001129,0.001593304,0.0002655216,0.008387903],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001793158,"threshold_uncertainty_score":0.009483278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008431557602997996,"score_gpt":0.2277678859820037,"score_spread":0.2193363283790057,"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."}}