{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003177108,0.000444786,0.0003187572,0.0002734439,0.000207152,0.0004465158,0.0003576171,0.0003956236,0.0003129385],"category_scores_gemma":[0.000495441,0.0002085064,0.0002229234,0.0002116919,0.0004890187,0.0005492789,0.0004220369,0.0002803539,0.000187191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000387497,"about_ca_system_score_gemma":0.0004175452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006510039,"about_ca_topic_score_gemma":0.001375905,"domain_scores_codex":[0.9998062,0.00002648449,0.00001834447,0.00005717372,0.00004489547,0.00004679347],"domain_scores_gemma":[0.9996713,0.0001164303,0.00008123418,0.00004323735,0.00005030527,0.00003740946],"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":[0.00004430613,0.000006325964,0.0001155144,0.00003139199,0.000001847235,0.00003068545,0.00004688049,0.000167508,0.9967114,0.0002831221,0.00002058993,0.002540363],"study_design_scores_gemma":[0.000004126075,0.00007312974,0.0003595427,0.000002037827,0.000004268796,0.00005213414,0.00001793547,0.001921262,0.9966696,0.00004211395,0.0008469388,0.000006916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353387,0.001962898,0.06065368,0.0001678132,0.0001021906,0.00006593719,0.00005353993,0.0002852628,0.00137006],"genre_scores_gemma":[0.9347616,0.0009688315,0.06272297,0.00007251126,0.00002830727,0.00004382275,0.00003776453,0.00002873188,0.001335372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006510039,"threshold_uncertainty_score":0.002811432,"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."}}