{"id":"W2572669562","doi":"10.1371/journal.pone.0169919","title":"Fractionation of Magnetic Microspheres in a Microfluidic Spiral: Interplay between Magnetic and Hydrodynamic Forces","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst; British Columbia Innovation Council","keywords":"Drag; Microfluidics; Microscale chemistry; Mechanics; Magnetic field; Spiral (railway); Magnet; Magnetic nanoparticles; Particle (ecology); Field flow fractionation; Body force; Materials science; Flow (mathematics); Nanotechnology; Chemistry; Physics; Fractionation; Nanoparticle; Chromatography; Mechanical 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":[0.0002435612,0.0002183655,0.0002764203,0.000150634,0.00025078,0.0004685799,0.0001868885,0.000211337,0.0002539244],"category_scores_gemma":[0.0005575574,0.0001536739,0.0001540295,0.0001362919,0.0004536322,0.0002971885,0.0002287384,0.0001847551,0.0001149975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000405424,"about_ca_system_score_gemma":0.0003733163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007545552,"about_ca_topic_score_gemma":0.001041479,"domain_scores_codex":[0.9999028,0.0000171763,0.000006018986,0.00001927579,0.00002542022,0.00002931614],"domain_scores_gemma":[0.9997836,0.00009917004,0.00004245045,0.00001428293,0.00002827195,0.00003232027],"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":[0.0001216833,0.00002402435,0.0009681869,0.00004876881,0.000006487623,0.00006458205,0.00005908837,0.002729766,0.9889356,0.001319276,0.00006067142,0.005661858],"study_design_scores_gemma":[0.00009922576,0.0005020574,0.004856185,0.00001718777,0.00002802057,0.000215351,0.00008430879,0.07221299,0.9176053,0.001636737,0.002711649,0.00003103891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794668,0.0006591745,0.01827428,0.0001585696,0.00002526369,0.00002116896,0.00002271436,0.00008239453,0.00128965],"genre_scores_gemma":[0.9914747,0.0004084043,0.007518234,0.00004452853,0.000009511844,0.00001651426,0.00003074733,0.000007698593,0.0004896432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007545552,"threshold_uncertainty_score":0.002941608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938733488635213,"score_gpt":0.2289398166482121,"score_spread":0.20955248176186,"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."}}