{"id":"W3157451202","doi":"10.3390/cancers13092101","title":"Emerging Lab-on-a-Chip Approaches for Liquid Biopsy in Lung Cancer: Status in CTCs and ctDNA Research and Clinical Validation","year":2021,"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":"","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia; Partenariat Canadien Contre Le Cancer","keywords":"Liquid biopsy; Circulating tumor cell; Medicine; Cancer; Lung cancer; Disease; Disease monitoring; Intensive care medicine; Oncology; Internal medicine; Metastasis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008220044,0.0002396686,0.0006995351,0.00017525,0.0000609974,0.00006383673,0.000127053,0.0003808189,0.000003930506],"category_scores_gemma":[0.0003816874,0.0002429506,0.0001099062,0.0002545725,0.0001510872,0.000004135497,0.0001720963,0.0003548453,2.176493e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005736981,"about_ca_system_score_gemma":0.002032582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000571501,"about_ca_topic_score_gemma":0.001161473,"domain_scores_codex":[0.9980133,0.0001748816,0.0005024463,0.0007619103,0.00011231,0.0004351109],"domain_scores_gemma":[0.9990785,0.0002932777,0.0001386832,0.0002884319,0.0000727053,0.0001283784],"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":[0.0002738239,0.00006142513,0.002321252,0.007529817,0.0002248226,0.00001592488,0.0001440206,0.0003005457,0.00004036411,0.0004268886,0.00186967,0.9867914],"study_design_scores_gemma":[0.001006805,0.0004591484,0.00009283955,0.003927893,0.000117539,0.000005065388,0.0002128434,0.0002223176,0.0001191837,0.0000282056,0.993381,0.0004271602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0391627,0.9592269,0.00002445531,0.00005383336,0.0003055403,0.0008466028,0.000271519,0.000002714509,0.0001057522],"genre_scores_gemma":[0.002444424,0.9957402,0.0001469471,0.00004326062,0.0004353522,0.0005283564,0.000553152,0.0000486967,0.00005955173],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9915113,"threshold_uncertainty_score":0.9907237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529862504554184,"score_gpt":0.4506249712030444,"score_spread":0.297638720747626,"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."}}