{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001055646,0.0002132144,0.0007508666,0.00032996,0.00003567012,0.000007818869,0.00004470026,0.000344539,0.00001449331],"category_scores_gemma":[0.00001424278,0.0001791636,0.00008285775,0.0002536357,0.00009877285,0.00002386713,0.00005202834,0.0001790552,0.000001658345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002646921,"about_ca_system_score_gemma":0.0000479113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003361214,"about_ca_topic_score_gemma":3.933538e-7,"domain_scores_codex":[0.9991504,0.00001062644,0.0003436173,0.0002715599,0.00005753697,0.0001662876],"domain_scores_gemma":[0.9994969,0.00002290944,0.0002105203,0.0001954079,0.00002864116,0.00004559457],"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":[0.00001215087,0.00004668295,0.0000435421,0.03995353,0.0002929036,0.00002018818,0.00002630252,6.122917e-7,0.1677304,0.0001341455,0.00002192913,0.7917176],"study_design_scores_gemma":[0.0004583781,0.0002533913,0.00007481826,0.009197034,0.001219464,0.0001498304,0.000007227705,0.0007490497,0.03077195,0.000002178927,0.9567826,0.0003340351],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004478836,0.9895029,0.005120166,0.00005891535,0.0001898347,0.0004565523,0.00008273499,0.00009544709,0.0000146084],"genre_scores_gemma":[0.004362071,0.9933417,0.001977435,0.00002178983,0.0001001965,0.00001819794,0.0001288582,0.00002765268,0.00002213456],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9567607,"threshold_uncertainty_score":0.7306081,"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."}}