{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008024886,0.0001317181,0.0002453284,0.0001135552,0.00006185197,0.0000466768,0.000202514,0.0001350287,0.00003281688],"category_scores_gemma":[0.00007133957,0.0001337033,0.00002394477,0.00005562507,0.000177542,0.0001227072,0.00008958745,0.0001508101,0.00001073217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003411252,"about_ca_system_score_gemma":0.000006603763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001495177,"about_ca_topic_score_gemma":0.00004322896,"domain_scores_codex":[0.9993128,0.000009835378,0.0002378211,0.0001612682,0.0001035712,0.0001746685],"domain_scores_gemma":[0.9995414,0.00003877109,0.00006370954,0.0003067973,0.00002606225,0.0000232851],"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":[0.000005898838,0.00005621331,0.06681833,0.0001697815,0.00002495981,0.000002621671,0.00007129253,0.000001110384,0.9212396,0.00001340575,0.0002349039,0.01136192],"study_design_scores_gemma":[0.0005668201,0.0002074299,0.2502726,0.0005360199,0.00007907865,0.000003922032,0.00007801058,0.002913359,0.7440327,0.0007967171,0.0002570622,0.000256361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989046,0.009943412,0.0001167044,0.0001355067,0.00003428769,0.0001643656,0.00001660545,0.0001518253,0.0003912376],"genre_scores_gemma":[0.995239,0.002739241,0.00181793,0.000008232217,0.0000222097,0.000005792028,0.000006861642,0.00002105521,0.0001396583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1834542,"threshold_uncertainty_score":0.5452262,"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."}}