{"id":"W4414876150","doi":"10.3390/cancers17193244","title":"Targeting CTC Heterogeneity: Aptamer-Based Liquid Biopsy Predicts Outcome in Lung Cancer","year":2025,"lang":"en","type":"article","venue":"Cancers","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ministry of Health of the Russian Federation; Ministry of Science and Higher Education of the Russian Federation; Siberian Branch, Russian Academy of Sciences","keywords":"Liquid biopsy; Circulating tumor cell; Aptamer; Lung cancer; Biopsy; Metastasis; Primary tumor; Lung; Lymph node","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":[0.0004217031,0.0001882411,0.0002602993,0.0005660294,0.0001058231,0.000420645,0.0002190269,0.0004731339,0.000947309],"category_scores_gemma":[0.001060909,0.00008729124,0.0001003903,0.0003140967,0.0001722796,0.0002048377,0.0002055399,0.0003585713,0.0002714865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002812717,"about_ca_system_score_gemma":0.0001301844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005127268,"about_ca_topic_score_gemma":0.0006378672,"domain_scores_codex":[0.9998249,0.0000446948,0.00001335033,0.00004719978,0.00004978178,0.00002004537],"domain_scores_gemma":[0.9994683,0.0001842742,0.0001621217,0.00002191093,0.00007781772,0.00008558545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002112927,0.0001821412,0.9098447,0.00006779534,0.00005124107,0.0002725565,0.00005109141,0.0006293393,0.0535237,0.00004444499,0.0004645288,0.03275561],"study_design_scores_gemma":[0.00009720177,0.001447067,0.9400443,0.00003248374,0.0001619084,0.003068687,0.000142832,0.01706159,0.03604231,0.000372898,0.001512425,0.00001633623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965256,0.001175929,0.001434111,0.00009348268,0.00001513039,0.00003395755,0.0001379161,0.00005167865,0.0005321976],"genre_scores_gemma":[0.9988866,0.0001258397,0.0006307055,0.00003915951,0.00001110004,0.00001159744,0.0001360022,0.000002880269,0.0001561574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000947309,"threshold_uncertainty_score":0.003169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177331640791201,"score_gpt":0.3192491440642748,"score_spread":0.3074758276563628,"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."}}