{"id":"W4403069243","doi":"10.3390/curroncol31100444","title":"Integrative Biomarker Panel for Improved Lung Cancer Diagnosis Using Plasma microRNAs and Sputum Bacterial DNA","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sputum; Lung cancer; Medicine; Biomarker; Molecular biomarkers; Cancer; Internal medicine; microRNA; Oncology; Lung; Pathology; Biology; Gene; Tuberculosis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00164862,0.0006110689,0.000811886,0.001288198,0.0003070769,0.001038611,0.0004231665,0.0007341442,0.000969703],"category_scores_gemma":[0.00249786,0.000276342,0.0003813968,0.0007212867,0.0002154719,0.0003922081,0.0006594525,0.0006104928,0.000432024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002895719,"about_ca_system_score_gemma":0.0004148886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004699805,"about_ca_topic_score_gemma":0.001027056,"domain_scores_codex":[0.9987831,0.0003777802,0.00009946062,0.0002722415,0.0003947636,0.00007270722],"domain_scores_gemma":[0.9991371,0.0003223316,0.0001606745,0.00007147363,0.0002362787,0.00007211428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001340404,0.0004113935,0.4265524,0.0003863192,0.0002742818,0.0004513285,0.000314144,0.001256682,0.4548905,0.0003625608,0.001040083,0.11272],"study_design_scores_gemma":[0.0002040409,0.00319538,0.4924517,0.000241081,0.0008224663,0.004414059,0.000598321,0.02900322,0.4560041,0.001495815,0.01146293,0.0001069225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544222,0.005317797,0.03547756,0.0004438575,0.0001318494,0.0002804954,0.001307173,0.0004589079,0.002160163],"genre_scores_gemma":[0.9536656,0.0006890571,0.04299824,0.0003598579,0.00006159905,0.0001831009,0.001049114,0.00002358467,0.0009700215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00164862,"threshold_uncertainty_score":0.008718848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08973147843534361,"score_gpt":0.3960984588652294,"score_spread":0.3063669804298858,"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."}}