{"id":"W2794051119","doi":"10.1002/j.1551-8833.2002.tb10235.x","title":"Acidic Methanol Methylation for HAA Analysis: Limitations and Possible Solutions","year":2002,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pennsylvania State University; Agilent Technologies; U.S. Environmental Protection Agency","keywords":"Methylation; Methanol; Chemistry; Haloacetic acids; Derivatization; Chromatography; Organic chemistry; Biochemistry; High-performance liquid chromatography; Chlorine; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01833204,0.001492886,0.00133747,0.001624137,0.001389789,0.002311692,0.003392549,0.003903388,0.002842871],"category_scores_gemma":[0.02475525,0.001050603,0.0008300403,0.00130774,0.002170774,0.00358712,0.001730202,0.002610035,0.001946411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464046,"about_ca_system_score_gemma":0.00209693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00408759,"about_ca_topic_score_gemma":0.008611789,"domain_scores_codex":[0.9873959,0.005734396,0.001092073,0.001542868,0.003864257,0.0003703879],"domain_scores_gemma":[0.9836034,0.009125007,0.001339823,0.001157411,0.004270595,0.0005036922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008615926,0.0004447418,0.01785229,0.00862766,0.0003273335,0.00280598,0.002300796,0.003274339,0.5491983,0.01112482,0.02562254,0.3775595],"study_design_scores_gemma":[0.000122945,0.000832698,0.007165874,0.001728521,0.000273142,0.006685875,0.002408587,0.01709426,0.6505446,0.02247194,0.2903789,0.0002926587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.192282,0.220691,0.4509405,0.1000909,0.006242325,0.001983291,0.001314527,0.002476912,0.02397857],"genre_scores_gemma":[0.3628472,0.07048643,0.5286492,0.01687693,0.001431799,0.001770987,0.001171645,0.0005688569,0.01619697],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01833204,"threshold_uncertainty_score":0.09695023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528551018026026,"score_gpt":0.2290419346793792,"score_spread":0.2037564244991189,"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."}}