{"id":"W4391643038","doi":"10.1016/j.chroma.2024.464723","title":"A validated approach for analysis of heterocyclic aromatic compounds in sediment samples","year":2024,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Dichloromethane; Analyte; Chromatography; Extraction (chemistry); Sediment; Mass spectrometry; Solvent; Environmental chemistry; Gas chromatography; Organic chemistry","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":[0.001593408,0.001301143,0.000574802,0.00164133,0.001160156,0.0008246672,0.001099435,0.002187595,0.001135652],"category_scores_gemma":[0.001583152,0.0005971805,0.000791329,0.0006083031,0.0007613309,0.0005216107,0.0009724495,0.00147486,0.001359933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008462455,"about_ca_system_score_gemma":0.003420186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003188693,"about_ca_topic_score_gemma":0.01292786,"domain_scores_codex":[0.9975937,0.000472868,0.00009936616,0.0005594504,0.00109133,0.0001831495],"domain_scores_gemma":[0.9992114,0.0001202945,0.00009280752,0.00008435172,0.0004233334,0.00006776455],"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":[0.0001136026,0.0001197317,0.0020752,0.0001455671,0.0001086232,0.0001182962,0.00006862851,0.0002984076,0.9837486,0.0002834937,0.0003524565,0.0125675],"study_design_scores_gemma":[0.0000365164,0.0005241336,0.0085756,0.00007216711,0.0001463188,0.0008744113,0.00009743912,0.004869933,0.9741126,0.0002842974,0.01033607,0.00007051176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4036864,0.006942199,0.5718274,0.0005470031,0.0008666165,0.002175778,0.00385169,0.002286113,0.007816833],"genre_scores_gemma":[0.5155819,0.004907362,0.4545865,0.001743849,0.0001793208,0.001927829,0.004483026,0.0002174503,0.01637277],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003188693,"threshold_uncertainty_score":0.008426845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278930981717418,"score_gpt":0.2742046628406151,"score_spread":0.2514153530234409,"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."}}