{"id":"W2878368534","doi":"10.1002/bit.26787","title":"Filter‐based isolation, enrichment, and characterization of circulating tumor cells","year":2018,"lang":"en","type":"review","venue":"Biotechnology and Bioengineering","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Circulating tumor cell; Isolation (microbiology); Immunochemistry; Filter (signal processing); Computational biology; Nanotechnology; Computer science; Biology; Materials science; Bioinformatics; Medicine; Internal medicine; Immunology; Cancer; Antibody; Metastasis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007585142,0.0008372519,0.001169962,0.002877345,0.000269834,0.0009649267,0.0008035803,0.001030086,0.001993306],"category_scores_gemma":[0.0008486446,0.0003139461,0.0005694355,0.001778381,0.0004537418,0.001240124,0.0005878393,0.001045627,0.001444055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004998192,"about_ca_system_score_gemma":0.001014486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009364331,"about_ca_topic_score_gemma":0.001346455,"domain_scores_codex":[0.9997047,0.00004047875,0.00003545502,0.00005264557,0.0001377014,0.00002903236],"domain_scores_gemma":[0.999655,0.000150546,0.0000503917,0.000012136,0.0001092727,0.00002266435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006224048,0.0001169849,0.0005513456,0.02674089,0.00009183417,0.0003642942,0.00009667364,0.0005366319,0.01126585,0.005118513,0.01766195,0.9373928],"study_design_scores_gemma":[0.00001043585,0.0001303604,0.001140349,0.00246664,0.0001025247,0.001640323,0.00008084686,0.0001910951,0.006089267,0.001482955,0.9866365,0.00002870013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000452344,0.9968635,0.0005833909,0.0002441504,0.0002088811,0.00001349041,0.00003434629,0.00001220058,0.00158765],"genre_scores_gemma":[0.001527652,0.9967716,0.0005244956,0.0001333208,0.00009094352,0.0000144896,0.00005772404,0.000002339692,0.0008773388],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002877345,"threshold_uncertainty_score":0.00666827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492012296617844,"score_gpt":0.2691800619439656,"score_spread":0.2442599389777872,"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."}}