{"id":"W2950673271","doi":"10.1039/c9ra03587g","title":"Enhanced inertial focusing of microparticles and cells by integrating trapezoidal microchambers in spiral microfluidic channels","year":2019,"lang":"en","type":"article","venue":"RSC Advances","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Spiral (railway); Microfluidics; Nanotechnology; Inertial frame of reference; Materials science; Biomedical engineering; Chemistry; Engineering; Physics; Mechanical engineering; Classical mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001003488,0.0002043216,0.0003132148,0.0001224647,0.00002762753,0.00002211748,0.0001223264,0.000113612,0.00000939944],"category_scores_gemma":[0.00001435026,0.0001862495,0.0000412594,0.0002038081,0.0001409402,0.000198127,0.00005110642,0.0001684011,0.000007028619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003307889,"about_ca_system_score_gemma":0.00001098565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003438985,"about_ca_topic_score_gemma":0.000008684055,"domain_scores_codex":[0.9989856,0.00001717745,0.0003427141,0.0002473205,0.00008064864,0.0003265633],"domain_scores_gemma":[0.9996901,0.00004776727,0.0000607728,0.0001487174,0.00002094547,0.00003169047],"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":[0.0000187724,0.00001606136,0.0004433828,0.0001117414,0.000008705433,0.000001798642,0.0003472502,0.00006013926,0.9784844,0.0000181575,0.0002418756,0.02024775],"study_design_scores_gemma":[0.0004295841,0.00006617375,0.00003862799,0.000161916,0.000006289208,0.000005493844,0.0006638495,0.0003490101,0.9957413,0.00009231098,0.002227722,0.0002177291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707755,0.0261534,0.002303693,0.00003396651,0.000283983,0.000164026,0.00001109265,0.000161817,0.000112515],"genre_scores_gemma":[0.9947766,0.003065792,0.002043801,0.00002257979,0.00002901277,0.000003083948,0.000003543344,0.00002447133,0.00003108255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02400112,"threshold_uncertainty_score":0.7595032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005009218395632054,"score_gpt":0.2016796460844423,"score_spread":0.1966704276888102,"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."}}