{"id":"W2292571563","doi":"10.2174/1389201017666160301103509","title":"Microfluidic Devices for Circulating Tumor Cells Isolation and Subsequent Analysis","year":2016,"lang":"en","type":"review","venue":"Current Pharmaceutical Biotechnology","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Circulating tumor cell; Microfluidics; Isolation (microbiology); Computational biology; Immunomagnetic separation; Liquid biopsy; Cancer; Personalized medicine; Tumor cells; Cancer research; Computer science; Biology; Nanotechnology; Bioinformatics; Medicine; Molecular biology; Metastasis; Internal medicine; Materials science","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":[0.0005270921,0.001132328,0.00083147,0.002306304,0.0002748024,0.000774964,0.000705165,0.0009332889,0.002061053],"category_scores_gemma":[0.0005885356,0.0004084039,0.0005829928,0.001424095,0.0004079949,0.001255207,0.0006060699,0.001063646,0.001451291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004198134,"about_ca_system_score_gemma":0.0006780742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004706922,"about_ca_topic_score_gemma":0.0005386419,"domain_scores_codex":[0.9996274,0.00003861441,0.00003281684,0.00008460383,0.0001874841,0.00002920422],"domain_scores_gemma":[0.999769,0.0001041053,0.00004523534,0.000009958781,0.00005615666,0.00001544488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005635144,0.000123131,0.0004245542,0.01170619,0.0000652725,0.0003357895,0.0001091547,0.001075065,0.06892522,0.009743576,0.01622714,0.8912086],"study_design_scores_gemma":[0.00001983738,0.0002368946,0.001366525,0.001399521,0.0001192429,0.002193609,0.000086019,0.001987255,0.06653821,0.00293941,0.923036,0.0000775676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001917834,0.9795664,0.01125806,0.0004998572,0.0006256325,0.00005159348,0.00008328643,0.0001093331,0.005887961],"genre_scores_gemma":[0.01145453,0.9744921,0.008748303,0.0003004281,0.0004425303,0.00009355158,0.0001144004,0.00001204636,0.004342177],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002306304,"threshold_uncertainty_score":0.006894886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07178959157968433,"score_gpt":0.3561836423691593,"score_spread":0.2843940507894749,"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."}}