{"id":"W4404055216","doi":"10.1016/j.chroma.2024.465504","title":"Method development and comprehensive study of matrix effects for the determination of trace organic contaminants in lake sediments","year":2024,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Chemistry; TRACE (psycholinguistics); Environmental chemistry; Matrix (chemical analysis); Contamination; Chromatography; Complex matrix; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006680719,0.0001566193,0.0004770577,0.0001928598,0.00003299685,0.00001882973,0.0001818389,0.00007871518,0.00002683265],"category_scores_gemma":[0.000111287,0.0001092986,0.0001222802,0.0003548703,0.00005194187,0.00007208396,0.00004672604,0.0001878611,1.354027e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004309754,"about_ca_system_score_gemma":0.0001127238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001950149,"about_ca_topic_score_gemma":0.00001451657,"domain_scores_codex":[0.9984449,0.00007116854,0.0008255667,0.0001529561,0.000361669,0.0001437072],"domain_scores_gemma":[0.997364,0.001862083,0.0004112226,0.0001126913,0.0001935749,0.00005639551],"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":[0.0004104235,0.00127825,0.02494415,0.008415085,0.001865502,0.000195194,0.01237416,0.00001116496,0.8629704,0.00004497631,0.00005122213,0.08743951],"study_design_scores_gemma":[0.003006977,0.0002813099,0.03862436,0.001356583,0.0004466515,0.0001493795,0.003875269,0.001063645,0.9494792,0.0002130616,0.001312541,0.0001909884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562531,0.002008858,0.04138085,0.00002477016,0.00006543755,0.0002263758,0.000005546073,0.000006301435,0.0000287717],"genre_scores_gemma":[0.9222613,0.00004718492,0.07760784,0.000004753432,0.000022128,0.00001526435,8.639865e-7,0.00001590214,0.00002475082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08724853,"threshold_uncertainty_score":0.4457069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940464648906057,"score_gpt":0.3339745716040016,"score_spread":0.314569925114941,"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."}}