{"id":"W3092533319","doi":"10.1016/j.chroma.2020.461600","title":"Application of asymmetric flow field-flow fractionation to the study of aquatic systems: Coupled methods, challenges, and future needs","year":2020,"lang":"en","type":"review","venue":"Journal of Chromatography A","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Suncor Energy Incorporated","keywords":"Aquatic ecosystem; Biochemical engineering; Field flow fractionation; Chemistry; Pollutant; Environmental science; Environmental chemistry; Risk analysis (engineering); Nanotechnology; Fractionation; Chromatography; Business; Engineering","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":[0.002687132,0.001579535,0.002935277,0.003236766,0.0004359837,0.002361411,0.002136816,0.00205731,0.002712206],"category_scores_gemma":[0.001768577,0.0007435508,0.0009070219,0.004254367,0.001483423,0.003704521,0.001351768,0.003446461,0.002269118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078619,"about_ca_system_score_gemma":0.002212977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002266976,"about_ca_topic_score_gemma":0.003902254,"domain_scores_codex":[0.9994963,0.00007562486,0.00004052906,0.00009549964,0.000230854,0.00006108062],"domain_scores_gemma":[0.9983821,0.0008208668,0.0001661747,0.00005927381,0.0004340116,0.0001375707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001128656,0.0002353475,0.0003186174,0.02274457,0.0001732435,0.000167142,0.000081381,0.001323605,0.01075177,0.0107463,0.0144051,0.93894],"study_design_scores_gemma":[0.00003436084,0.0003010342,0.00131693,0.00383788,0.0002427717,0.0007318773,0.0001625645,0.0008651266,0.004837133,0.008879487,0.9787001,0.00009072235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001941285,0.997798,0.0008996291,0.0002589532,0.0001700013,0.000006892076,0.00001634546,0.00001114659,0.0006449517],"genre_scores_gemma":[0.0007468039,0.9975075,0.001042463,0.0001920557,0.0001320813,0.000008601497,0.00002802143,0.000002844109,0.0003396802],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003236766,"threshold_uncertainty_score":0.01421106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341097264647627,"score_gpt":0.3103936840376317,"score_spread":0.2869827113911554,"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."}}