{"id":"W2026978409","doi":"10.1021/ac010302z","title":"Microwave-Assisted Extraction of Polycyclic Aromatic Hydrocarbons from Marine Sediments Using Nonionic Surfactant Solutions","year":2001,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Chemistry; Extraction (chemistry); Pulmonary surfactant; Chromatography; Sample preparation; Aqueous solution; Ether; Reproducibility; Environmental chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001152809,0.0004295465,0.0006105055,0.00005075923,0.0002036636,0.00004831545,0.000389026,0.0004529772,0.003085246],"category_scores_gemma":[0.000127556,0.0004479155,0.0005116886,0.0005706622,0.0003629499,0.0001400553,0.0001711386,0.0005402495,0.00003020205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002127962,"about_ca_system_score_gemma":0.0001306105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004526196,"about_ca_topic_score_gemma":0.0000142044,"domain_scores_codex":[0.9972197,0.00001886422,0.0009015345,0.0006315089,0.0005382462,0.0006901687],"domain_scores_gemma":[0.998198,0.0002448378,0.0003405467,0.0007749827,0.00002467376,0.0004170048],"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":[0.00007405841,0.0006175871,0.01560416,0.0001015716,0.0004749949,0.00008054732,0.00001711818,0.00001134341,0.9826307,0.00001122934,0.00009640171,0.0002802429],"study_design_scores_gemma":[0.001273825,0.00001467041,0.002542608,0.0002748815,0.001077098,0.0002740244,0.0003317512,0.03815259,0.9526114,0.002106341,0.0006054754,0.000735267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463072,0.0001736203,0.0007675038,0.00008033695,0.00003313754,0.00003944898,0.00003746988,0.0001186017,0.05244268],"genre_scores_gemma":[0.9972178,0.00005960231,0.0007162636,0.00003378475,0.0001977812,0.000006031033,0.0003460287,0.00004596333,0.001376782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0510659,"threshold_uncertainty_score":0.9997973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666665942538085,"score_gpt":0.2675050750516038,"score_spread":0.2408384156262229,"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."}}