{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000558332,0.0002793278,0.0003900885,0.0009998088,0.0002655159,0.0006104989,0.0002515532,0.0003644429,0.000915431],"category_scores_gemma":[0.0006929457,0.0001533086,0.0001444488,0.0005813271,0.0001686064,0.0003719538,0.0003483973,0.0002536884,0.000244825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915275,"about_ca_system_score_gemma":0.0001764044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005782022,"about_ca_topic_score_gemma":0.0008737581,"domain_scores_codex":[0.999711,0.00009977867,0.00002460489,0.0000611687,0.00007372473,0.00002972636],"domain_scores_gemma":[0.9996243,0.00009230836,0.0001176328,0.00002794059,0.00006317918,0.00007464723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005800938,0.0002949223,0.7550749,0.0001411554,0.000106584,0.0006444171,0.000210122,0.0003297702,0.1970451,0.00008055371,0.000435604,0.03983606],"study_design_scores_gemma":[0.00008694312,0.003524781,0.9459828,0.00003041275,0.0001176843,0.006081431,0.0004551859,0.005716799,0.03599631,0.0001465154,0.001828256,0.00003302212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957463,0.0009885009,0.002319731,0.00003836857,0.00001343049,0.00005653702,0.0004114516,0.00004169284,0.0003840095],"genre_scores_gemma":[0.9960045,0.0002763414,0.002592389,0.00004140311,0.00001624915,0.00006640041,0.0005691748,0.000007482767,0.0004260083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009998088,"threshold_uncertainty_score":0.003062427,"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."}}