{"id":"W2076979866","doi":"10.1039/b400743n","title":"LC-ESI-MS-MS method for the analysis of tetrabromobisphenol A in sediment and sewage sludge","year":2004,"lang":"en","type":"article","venue":"The Analyst","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Tetrabromobisphenol A; Sediment; Chemistry; Environmental chemistry; Detection limit; Chromatography; Sewage; Sewage sludge; Fire retardant; Environmental science; Environmental engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001223608,0.0001395576,0.0003071573,0.00009755647,0.0001169204,0.00002231688,0.000409844,0.00004540272,0.0007261526],"category_scores_gemma":[0.00007090858,0.00007548645,0.0001510033,0.00150675,0.000191919,0.00008422956,0.0001328168,0.0001061201,0.00001747273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884243,"about_ca_system_score_gemma":0.000017423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003654416,"about_ca_topic_score_gemma":0.005448526,"domain_scores_codex":[0.9987959,0.00009806429,0.0002926562,0.0002499758,0.0002795419,0.0002838061],"domain_scores_gemma":[0.9989409,0.0003208556,0.000133302,0.0005383097,0.000001903318,0.00006467756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003014161,0.0008724373,0.04743624,0.00003325785,0.007704036,0.00002899054,0.02786987,0.1134556,0.5582432,0.0007780122,0.0007381978,0.2425387],"study_design_scores_gemma":[0.001166132,0.0001281439,0.9428269,0.00001308352,0.00312637,0.00001017227,0.001206808,0.01777619,0.03084774,0.001625384,0.001011971,0.0002611416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647639,0.0003543899,0.03013046,0.002639087,0.0000427978,0.0005890893,0.0001537316,0.00002216607,0.001304315],"genre_scores_gemma":[0.9967589,0.00003466566,0.002679562,0.0002908399,0.00001473974,0.00001093513,0.000001103525,0.0000116137,0.0001976587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8953906,"threshold_uncertainty_score":0.7950862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269943158934988,"score_gpt":0.2756654749046284,"score_spread":0.2629660433152785,"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."}}