{"id":"W2794215802","doi":"10.1177/1535370217750087","title":"Liquid biopsy and its role in an advanced clinical trial for lung cancer","year":2018,"lang":"en","type":"review","venue":"Experimental Biology and Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; U.S. Food and Drug Administration; Hamilton Health Sciences Foundation; Arkansas Research Alliance; U.S. Department of Health and Human Services","keywords":"Liquid biopsy; Lung cancer; Medicine; Biopsy; Cancer; Clinical trial; Lung; Oncology; Pathology; Internal medicine; Intensive care medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02157573,0.0005056161,0.001598445,0.001008429,0.0003582351,0.003764947,0.001301359,0.002425485,0.005282188],"category_scores_gemma":[0.01948276,0.0002363775,0.001212747,0.0009669974,0.001445512,0.002972217,0.001662785,0.003081898,0.001816611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390124,"about_ca_system_score_gemma":0.003614627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003713472,"about_ca_topic_score_gemma":0.0006343328,"domain_scores_codex":[0.9906777,0.00652708,0.0007116469,0.0004994621,0.001309263,0.0002748323],"domain_scores_gemma":[0.9792819,0.01412863,0.002052163,0.0006810079,0.002872421,0.0009839197],"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":[0.002472888,0.0002384943,0.001346603,0.01467786,0.0005518065,0.000217077,0.0002000752,0.0005928156,0.005961674,0.01763534,0.03092075,0.9251847],"study_design_scores_gemma":[0.0008435586,0.004976111,0.003129879,0.0125736,0.001171851,0.0008860768,0.0002143874,0.00119089,0.005383861,0.0146341,0.9548946,0.0001009942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003872693,0.95061,0.009719565,0.02056651,0.004175566,0.0005725229,0.0003881528,0.0001792435,0.009915724],"genre_scores_gemma":[0.07259828,0.8365187,0.03572915,0.03750744,0.007383261,0.002755353,0.001540822,0.0001614644,0.005805432],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02157573,"threshold_uncertainty_score":0.1141047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05617502694842571,"score_gpt":0.4819052148206509,"score_spread":0.4257301878722252,"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."}}