{"id":"W4409879003","doi":"10.1002/jeq2.70033","title":"Pre‐treatment with extraction solvent yields higher recovery: Method optimization for efficient determination of polycyclic aromatic hydrocarbons in organic‐rich fine‐textured wastes","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenanthrene; Extraction (chemistry); Chemistry; Pyrene; Fluorene; Naphthalene; Dibenzofuran; Chromatography; Fluoranthene; Environmental chemistry; 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":[0.0006341877,0.0009207688,0.0005307305,0.0006245691,0.0003263583,0.0004608463,0.0003128576,0.0006061638,0.0004431439],"category_scores_gemma":[0.0005675485,0.0002516641,0.0004641279,0.000578653,0.000309807,0.0004434745,0.0003834961,0.0004921096,0.0003292873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004924259,"about_ca_system_score_gemma":0.000714141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502416,"about_ca_topic_score_gemma":0.00382818,"domain_scores_codex":[0.9993396,0.00009690531,0.00006570925,0.0001734378,0.0002558033,0.0000684702],"domain_scores_gemma":[0.9998258,0.00004796442,0.00004246228,0.00001546045,0.00005620882,0.00001212409],"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":[0.00002315871,0.0000269183,0.0002081489,0.00009693948,0.000009720698,0.00002867918,0.00001334244,0.0001869406,0.9952117,0.0000290067,0.00002216035,0.004143352],"study_design_scores_gemma":[0.000005306183,0.00009852929,0.001854255,0.00000838585,0.00001985074,0.00008730918,0.00001735439,0.001142232,0.9952403,0.0000265842,0.001484827,0.00001516318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8639111,0.00720387,0.125014,0.0002126827,0.00008734295,0.0005275736,0.0006511183,0.0003266085,0.002065705],"genre_scores_gemma":[0.774834,0.008099123,0.2121752,0.0002154358,0.00005008541,0.000446535,0.0009397337,0.0001127547,0.003127124],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001502416,"threshold_uncertainty_score":0.003572822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308151151814512,"score_gpt":0.2963423651195286,"score_spread":0.2832608536013835,"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."}}