{"id":"W2338096655","doi":"10.1021/acs.iecr.5b01780","title":"Extraction of EPA/DHA from 18/12EE Fish Oil Using AgNO<sub>3</sub>(aq): Composition, Yield, and Effects of Solvent Addition on Interfacial Tension and Flow Pattern in Mini-Fluidic Systems","year":2015,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Surface tension; Chemistry; Extraction (chemistry); Aqueous solution; Yield (engineering); Solvent; Silver nitrate; Fish oil; Hexane; Heptane; Raw material; Chromatography; Chemical engineering; Materials science; Organic chemistry; Thermodynamics; Fish <Actinopterygii>; Composite material; Fishery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004529179,0.0001906978,0.0003269195,0.0001793692,0.00003163645,0.00004576978,0.00008873792,0.0003268866,0.000004538422],"category_scores_gemma":[0.0002834355,0.0002146215,0.00003511174,0.0002105637,0.00004800821,0.0001107587,0.00006837826,0.0006215592,7.056869e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002265247,"about_ca_system_score_gemma":0.00004425388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002916151,"about_ca_topic_score_gemma":0.000004601764,"domain_scores_codex":[0.9986385,0.00003700815,0.0003970221,0.000247096,0.0003926752,0.000287687],"domain_scores_gemma":[0.9990861,0.0004199433,0.00005090811,0.0001747428,0.0001254717,0.0001428107],"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":[0.00006100192,0.00003923758,0.0001204259,0.0004699943,0.00003249034,0.00002475117,0.0001105615,0.07546917,0.9197332,6.487466e-7,0.0002265572,0.003712018],"study_design_scores_gemma":[0.0008287448,0.00005736603,0.0001546306,0.001858291,0.00001163594,0.00001129017,0.0000500627,0.3922018,0.6046728,0.000001774438,0.0000298337,0.0001217747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981906,0.0003909521,0.0006307664,0.00001209399,0.0004553906,0.000162489,0.00009489282,0.00003356314,0.0000292942],"genre_scores_gemma":[0.9993426,0.0001272312,0.00002405326,9.935374e-7,0.0003672012,0.00002109562,0.00007850332,0.00003520276,0.000003069234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3167326,"threshold_uncertainty_score":0.8752009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06136776087243757,"score_gpt":0.2750698576114271,"score_spread":0.2137020967389895,"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."}}