{"id":"W2162490337","doi":"10.1021/ac048295c","title":"Characterizing Dissolved Organic Carbon Using Asymmetrical Flow Field-Flow Fractionation with On-Line UV and DOC Detection","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Chemistry; Field flow fractionation; Dissolved organic carbon; Fractionation; Flow (mathematics); Carbon fibers; Flow injection analysis; Line (geometry); Environmental chemistry; Chromatography; Analytical Chemistry (journal); Detection limit; Mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003660866,0.0004932149,0.0003192484,0.001087125,0.0005296085,0.0004850834,0.0004287554,0.0003434339,0.0006555745],"category_scores_gemma":[0.0005425099,0.000157354,0.000180937,0.0005135473,0.0003237913,0.0003145273,0.000263983,0.0005910218,0.0003155984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000620454,"about_ca_system_score_gemma":0.0005100559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002721192,"about_ca_topic_score_gemma":0.005129325,"domain_scores_codex":[0.9995767,0.00004999997,0.00002066041,0.00008995472,0.000224219,0.00003845795],"domain_scores_gemma":[0.9996547,0.00008149749,0.00005020867,0.00003483264,0.0001370797,0.00004182166],"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":[0.0000354484,0.00003508543,0.0009569877,0.00004147865,0.000004118179,0.00001188214,0.00001163473,0.00007862299,0.9907574,0.00009100304,0.00004174465,0.007934567],"study_design_scores_gemma":[0.00001044586,0.0001336256,0.005982812,0.00000620935,0.00001195412,0.0001798131,0.00002052799,0.002392325,0.9888324,0.0002170001,0.002199665,0.00001320676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7263477,0.001521652,0.2645926,0.0001011959,0.0001004192,0.0005190009,0.001315629,0.0006406197,0.004861131],"genre_scores_gemma":[0.6973952,0.002032078,0.292686,0.0002393571,0.00005652645,0.0007262701,0.001987634,0.00009533497,0.004781479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002721192,"threshold_uncertainty_score":0.005410731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159342794599567,"score_gpt":0.2377620922529436,"score_spread":0.2261686643069479,"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."}}