{"id":"W4415680429","doi":"10.3390/cancers17213474","title":"Liquid Biopsy in Lung Cancer: Tracking Resistance to Targeted Therapies","year":2025,"lang":"en","type":"review","venue":"Cancers","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Liquid biopsy; Lung cancer; Biopsy; Circulating tumor cell; Lung; Circulating tumor DNA; Acquired resistance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008984122,0.0009118958,0.001630404,0.002529179,0.0002157048,0.001206795,0.0009006136,0.001306899,0.002512528],"category_scores_gemma":[0.001100653,0.000336944,0.0007673988,0.001810212,0.0004846605,0.001287245,0.000731251,0.001836318,0.002343134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006107943,"about_ca_system_score_gemma":0.0008114422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008682862,"about_ca_topic_score_gemma":0.001329308,"domain_scores_codex":[0.999673,0.00007061078,0.00004028856,0.00005938192,0.0001262978,0.00003037436],"domain_scores_gemma":[0.9994614,0.0003107085,0.00005735439,0.00001376232,0.0001259551,0.00003099557],"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":[0.0001007687,0.00007510705,0.0003080702,0.01714811,0.0001257514,0.0002116772,0.00005385933,0.0003653093,0.002341249,0.002688348,0.01781674,0.958765],"study_design_scores_gemma":[0.00002280296,0.0001965179,0.001438303,0.005394497,0.0002369396,0.002146491,0.00007224754,0.0002465632,0.001423349,0.001989311,0.9867915,0.00004151036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009213539,0.9989403,0.0001532495,0.000157527,0.0001147313,0.000003759544,0.00001523503,0.000006539396,0.0005165018],"genre_scores_gemma":[0.0006845612,0.9985023,0.0001710791,0.0001481733,0.0001041709,0.000006053227,0.00003181285,0.000001704144,0.0003502264],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002529179,"threshold_uncertainty_score":0.008405209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533781388333513,"score_gpt":0.3169966271620918,"score_spread":0.3016588132787567,"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."}}