{"id":"W4365515486","doi":"10.3390/cancers15082275","title":"Sequence-Based Platforms for Discovering Biomarkers in Liquid Biopsy of Non-Small-Cell Lung Cancer","year":2023,"lang":"en","type":"review","venue":"Cancers","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Beatrice Hunter Cancer Research Institute; Izaak Walton Killam Health Centre; Dalhousie University","funders":"Beatrice Hunter Cancer Research Institute; University of British Columbia; Canadian Institutes of Health Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; BC Cancer Foundation; Cancer Research Institute","keywords":"Liquid biopsy; Biomarker discovery; Biomarker; Context (archaeology); Lung cancer; Computational biology; Cancer biomarkers; DNA sequencing; Bioinformatics; Computer science; Cancer; Biology; Medicine; Pathology; DNA; Gene; Proteomics; Genetics","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":[0.0009806275,0.001223329,0.001469694,0.003104287,0.00023559,0.0008916253,0.001111697,0.001487199,0.002053693],"category_scores_gemma":[0.001145127,0.0004987752,0.0007733635,0.001951472,0.0005700682,0.001542663,0.0007605829,0.002050679,0.002588698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006623722,"about_ca_system_score_gemma":0.0008571816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099558,"about_ca_topic_score_gemma":0.001677762,"domain_scores_codex":[0.9996647,0.00006366252,0.00003542988,0.00006039529,0.0001466142,0.0000293256],"domain_scores_gemma":[0.9995481,0.0002269802,0.00005513241,0.00001583018,0.0001212385,0.00003266774],"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":[0.00005786064,0.0000642965,0.0001757553,0.01106196,0.0001035777,0.0001861816,0.00003852329,0.0005607768,0.005820311,0.004684279,0.01418301,0.9630635],"study_design_scores_gemma":[0.00001773512,0.0001687034,0.0008262874,0.002407773,0.0001424976,0.001426724,0.00004365284,0.0003727871,0.004384226,0.002358196,0.9878076,0.00004388003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001607015,0.9974914,0.0009187572,0.0002079807,0.0001954959,0.00001135885,0.00002675015,0.00001739935,0.0009701636],"genre_scores_gemma":[0.0008746497,0.996653,0.001169224,0.0002270632,0.0001216798,0.00001984875,0.00006479125,0.000004086755,0.000865571],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003104287,"threshold_uncertainty_score":0.00687021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0433827564233672,"score_gpt":0.3352951665533183,"score_spread":0.2919124101299511,"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."}}