{"id":"W4298002983","doi":"10.3390/diagnostics12102360","title":"Liquid Biopsy: A Multi-Parametric Analysis of Mutation Status, Circulating Tumor Cells and Inflammatory Markers in EGFR-Mutated NSCLC","year":2022,"lang":"en","type":"article","venue":"Diagnostics","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"T790M; Medicine; Liquid biopsy; Epidermal growth factor receptor; Internal medicine; Lung cancer; Oncology; Biopsy; Pathology; Cancer; Cancer research; Gefitinib","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":[0.000157163,0.0001152488,0.0003111447,0.0009848588,0.00007802473,0.00001033951,0.00003573437,0.00002777731,0.00008054507],"category_scores_gemma":[0.0005059935,0.0001186719,0.00007226959,0.002142233,0.00004631167,0.00004692681,0.00004542582,0.0001294986,0.000001452794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070751,"about_ca_system_score_gemma":0.0001853196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006300068,"about_ca_topic_score_gemma":0.00006103034,"domain_scores_codex":[0.9989058,0.00007359771,0.0003662592,0.0002193714,0.0002350096,0.000199969],"domain_scores_gemma":[0.9989169,0.0005591835,0.000185922,0.0001559645,0.00008626378,0.00009580707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002592932,0.0006931342,0.9588197,0.0001237287,0.001551005,0.0008404694,0.003608817,0.02844863,0.002861366,0.0000610909,0.00006048734,0.002672305],"study_design_scores_gemma":[0.002713984,0.0003391785,0.9509383,0.00005168964,0.00255252,0.00001504372,0.00251056,0.03999228,0.0006574533,0.00000769721,0.00008205119,0.0001391801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980871,0.0006257053,0.0002356454,0.0000430901,0.00008626285,0.0004679012,0.0002887391,0.00002519137,0.0001403393],"genre_scores_gemma":[0.9977295,0.0001176401,0.001446703,0.0001018422,0.000008448938,0.0001011123,0.0004579925,0.00001804677,0.00001867963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01154364,"threshold_uncertainty_score":0.4839298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167572204139016,"score_gpt":0.2929891324161918,"score_spread":0.2813134103748016,"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."}}