{"id":"W2528722923","doi":"10.1007/978-3-319-44139-9_8","title":"Microfluidic Technologies for Deformability-Based Cell Sorting","year":2016,"lang":"en","type":"book-chapter","venue":"Microsystems and nanosystems","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Circulating tumor cell; Cell sorting; Microfluidics; Population; Cell; Cell type; Erythrocyte deformability; Red blood cell; Biology; Cell biology; Immunology; Nanotechnology; Medicine; Materials science; Cancer","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004842737,0.0009201063,0.001235707,0.0004489739,0.0002792515,0.0001481269,0.0004698093,0.001770058,0.000007481338],"category_scores_gemma":[0.00003248588,0.0007038379,0.0003612049,0.000064133,0.000295909,0.00008837859,0.0001446884,0.0003986762,0.0000683148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002858375,"about_ca_system_score_gemma":0.0000779651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001440872,"about_ca_topic_score_gemma":0.000009815875,"domain_scores_codex":[0.9970535,0.00001536096,0.001179997,0.0007750369,0.0002078681,0.0007682254],"domain_scores_gemma":[0.9982979,0.0001854924,0.0003753767,0.0008976005,0.0001632219,0.00008036996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002795445,0.00001340867,0.00006963409,0.008195988,0.0001225228,0.00001576644,0.00004412343,0.000001070943,0.9156434,0.004044997,0.05749271,0.0143284],"study_design_scores_gemma":[0.0006844303,0.000107255,4.778009e-7,0.00223094,0.00007801864,0.00005989461,0.0001032449,0.00009913374,0.3377704,0.0009157757,0.6570705,0.0008800122],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01854682,0.8238258,0.02622857,0.0005578111,0.007316363,0.00916363,0.003947281,0.01955496,0.09085876],"genre_scores_gemma":[0.8145139,0.02375364,0.001219839,0.0000643061,0.0008365255,0.0004220878,0.0002220298,0.0009371524,0.1580305],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8000722,"threshold_uncertainty_score":0.9995413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009762387383123726,"score_gpt":0.1833926666454724,"score_spread":0.1736302792623487,"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."}}