{"id":"W4380152749","doi":"10.1007/978-1-0716-3271-0_1","title":"Lateral Filter Array Microfluidic Devices for Detecting Circulating Tumor Cells","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Circulating tumor cell; Microfluidics; Liquid biopsy; Isolation (microbiology); Biomarker; Biomedical engineering; Nanotechnology; Cancer; Materials science; Medicine; Biology; Bioinformatics; Internal medicine; Metastasis","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":[],"consensus_categories":[],"category_scores_codex":[0.0009556664,0.0002132162,0.0003157138,0.0003057933,0.00006315661,0.00002247319,0.0002336237,0.00019915,0.000007572782],"category_scores_gemma":[0.0002542328,0.0002024455,0.0001081149,0.0004490123,0.00007721722,0.0000236156,0.00008368918,0.0002264556,0.00001526632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004519155,"about_ca_system_score_gemma":0.00001058056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000128277,"about_ca_topic_score_gemma":0.000003294426,"domain_scores_codex":[0.9985474,0.0001947936,0.0003426165,0.0003335832,0.00003720439,0.0005443917],"domain_scores_gemma":[0.9993601,0.0002708606,0.00004621609,0.0002691409,0.00002488886,0.00002876955],"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":[0.000004226556,0.000003291462,0.0004034295,0.00007469996,0.00002311594,0.00002972862,0.00006800854,0.000117966,0.9848692,0.00007734855,0.0002349065,0.01409411],"study_design_scores_gemma":[0.0001998502,0.00004395197,0.0001017682,0.00003846285,0.00001097713,0.00002273833,0.00009393807,0.003953764,0.985683,0.002741494,0.006865123,0.000244962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.280777,0.001712773,0.7158142,0.00005717035,0.0005158866,0.000216731,0.00001200869,0.0007716752,0.0001224769],"genre_scores_gemma":[0.1713261,0.0001030803,0.8282096,0.0001638971,0.00005149516,0.0000478471,0.00002202186,0.00005740708,0.00001850366],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1123954,"threshold_uncertainty_score":0.8255486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864277683788048,"score_gpt":0.3298417491883341,"score_spread":0.3011989723504536,"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."}}