{"id":"W4391636465","doi":"10.1101/2024.02.05.578972","title":"A comparative study of circulating tumor cell isolation and enumeration technologies in lung cancer","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Higher Education Authority; ANGLE","keywords":"Circulating tumor cell; Lung cancer; Enumeration; Isolation (microbiology); Adenocarcinoma; Cancer; Staining; Lung; Medicine; Oncology; Pathology; Cancer research; Biology; Internal medicine; Bioinformatics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001848663,0.0003032341,0.0004142887,0.0005431732,0.0001675396,0.0009246449,0.0003668219,0.0004250612,0.0007437876],"category_scores_gemma":[0.001964567,0.0001913253,0.0002965853,0.0004405011,0.0002184315,0.0004037245,0.0003238885,0.00043056,0.0004559572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003616409,"about_ca_system_score_gemma":0.0003837766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007844536,"about_ca_topic_score_gemma":0.0007787666,"domain_scores_codex":[0.9980789,0.000551219,0.0001175531,0.0003213516,0.000807575,0.0001234681],"domain_scores_gemma":[0.9989313,0.0005311141,0.00009378185,0.00007596757,0.0003257837,0.00004190577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004197018,0.00009857256,0.003961167,0.0002355549,0.00004103798,0.0000439053,0.00009252488,0.0004917166,0.9718884,0.0001285817,0.0002098204,0.02238904],"study_design_scores_gemma":[0.00001543559,0.001360421,0.01278595,0.00001558448,0.0001003486,0.0002673255,0.00006509448,0.005063015,0.9771087,0.00007070779,0.003131795,0.00001544842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9225914,0.006838325,0.06674458,0.0002123554,0.00009648574,0.0003019572,0.0007082807,0.0003583069,0.002148408],"genre_scores_gemma":[0.9229115,0.002904003,0.06735699,0.0002624455,0.00005984847,0.0002624763,0.002417369,0.0001142269,0.003711171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001848663,"threshold_uncertainty_score":0.009776831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089783070642777,"score_gpt":0.2811615983436836,"score_spread":0.2602637676372559,"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."}}