{"id":"W3110562003","doi":"10.1002/cjce.23963","title":"Optimization of semi‐pulsatile liquid‐liquid extraction operations in milli‐channels","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mass transfer; Pulsatile flow; Extraction (chemistry); Amplitude; Mechanics; Flow (mathematics); Continuous phase modulation; Slug flow; Materials science; Volumetric flow rate; Superficial velocity; Analytical Chemistry (journal); Phase (matter); Aqueous two-phase system; Liquid–liquid extraction; Chromatography; Chemistry; Two-phase flow; Physics; Optics; Electronic engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003215687,0.0003078428,0.0003524035,0.0002120911,0.0001614751,0.0006619233,0.0002906232,0.000203457,0.0005986922],"category_scores_gemma":[0.0004344458,0.0001490726,0.0001980754,0.0003641512,0.0002276501,0.0004232726,0.000298692,0.0002806345,0.0001467594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050844,"about_ca_system_score_gemma":0.000297259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002454046,"about_ca_topic_score_gemma":0.0003996828,"domain_scores_codex":[0.999797,0.00002605664,0.00001826827,0.00004448341,0.00007760975,0.00003656472],"domain_scores_gemma":[0.9997432,0.0001208098,0.0000723912,0.00002195767,0.00002441278,0.00001726346],"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":[0.0002352322,0.00008714397,0.0004453517,0.000113982,0.000007499735,0.00003543027,0.00002311804,0.006226355,0.9801011,0.0003223711,0.00006185554,0.01234063],"study_design_scores_gemma":[0.00001835626,0.0003564162,0.001314606,0.000003977925,0.00001138596,0.0000227407,0.00001382341,0.02348582,0.9739091,0.00008089402,0.0007735577,0.000009358066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975499,0.0003632789,0.02295492,0.00003423669,0.00001349984,0.00003545707,0.0001069146,0.0001332129,0.000859392],"genre_scores_gemma":[0.9846785,0.0002149185,0.01451861,0.000008344444,0.000005317767,0.0000386014,0.00008108831,0.00001526936,0.0004393393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006619233,"threshold_uncertainty_score":0.002213538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199868952877462,"score_gpt":0.2118703681962864,"score_spread":0.1998716786675118,"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."}}