{"id":"W2279875505","doi":"10.1002/smll.201503639","title":"Continuous Flow Deformability‐Based Separation of Circulating Tumor Cells Using Microfluidic Ratchets","year":2016,"lang":"en","type":"article","venue":"Small","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Prostate Cancer Canada","keywords":"Microfluidics; Nanotechnology; Separation (statistics); Materials science; Circulating tumor cell; Flow (mathematics); Continuous flow; Separation method; Biophysics; Chemistry; Mechanics; Chromatography; Computer science; Biology; Physics; Cancer","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":[0.000179666,0.0001574137,0.0002275594,0.0000878268,0.00004187815,0.00001326875,0.0001227366,0.0001113603,0.000019087],"category_scores_gemma":[0.00004717305,0.0001181634,0.00007950685,0.0001310909,0.00009456214,0.00006662834,0.00003230659,0.00007492855,0.00001669631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009765683,"about_ca_system_score_gemma":0.0000366092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002506918,"about_ca_topic_score_gemma":0.000003640334,"domain_scores_codex":[0.9991421,0.00002203916,0.0003242822,0.0001672254,0.00008432472,0.0002601071],"domain_scores_gemma":[0.9994882,0.00005754942,0.00006607475,0.0002899435,0.00006614641,0.00003210033],"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":[0.000006650798,0.00001249239,0.0009587358,0.00007706517,0.00001092041,0.000005268806,0.00004887967,0.000337459,0.9926999,0.000007620797,0.0004104279,0.005424623],"study_design_scores_gemma":[0.0003410349,0.00002651115,0.0001732384,0.0001258731,0.00001725152,0.0000114044,0.00004645731,0.01435754,0.9840502,0.00008546418,0.0005954899,0.0001696072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9103,0.0006982737,0.0880465,0.00003482805,0.0002150674,0.0001511279,0.00002156957,0.0004194948,0.0001132034],"genre_scores_gemma":[0.9871669,0.00003419792,0.01269909,0.00002087299,0.00003360285,0.000002168703,0.000004213334,0.0000244592,0.00001444829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07686701,"threshold_uncertainty_score":0.4818565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872335781270083,"score_gpt":0.217483029420943,"score_spread":0.1987596716082421,"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."}}