{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001829507,0.0004059139,0.0008997124,0.0001902634,0.00004097424,0.00002111382,0.00039993,0.0003937815,0.000008126146],"category_scores_gemma":[0.00005859252,0.0003800204,0.0004817577,0.000338013,0.00009714862,0.000003294952,0.0001183031,0.0001344063,0.00000155582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038402,"about_ca_system_score_gemma":0.004954257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418387,"about_ca_topic_score_gemma":0.001241345,"domain_scores_codex":[0.9982369,0.00001156179,0.0005982927,0.0006034956,0.0001020579,0.0004476943],"domain_scores_gemma":[0.9988782,0.00008658307,0.0004176511,0.0004496421,0.00006434626,0.000103621],"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":[0.002248846,0.0001747852,0.000639805,0.3233841,0.004864706,0.0001106216,0.0004349283,0.04510599,0.03903674,0.0001484377,0.01551485,0.5683362],"study_design_scores_gemma":[0.002496193,0.0006620073,0.000007141957,0.02223986,0.001150502,0.000005044184,0.0001304625,0.002115019,0.01486683,0.00001738705,0.9545982,0.001711335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008573135,0.9856018,0.0009428281,0.00000790134,0.000866428,0.001500501,0.002380018,0.00001076294,0.0001165664],"genre_scores_gemma":[0.0006757853,0.9961706,0.000417129,0.00005102377,0.0003144281,0.001244698,0.0008948494,0.000127336,0.0001041925],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9390833,"threshold_uncertainty_score":0.9998652,"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."}}