{"id":"W3044627739","doi":"10.3390/cancers12082071","title":"Circulating miR-16-5p, miR-92a-3p, and miR-451a in Plasma from Lung Cancer Patients: Potential Application in Early Detection and a Regulatory Role in Tumorigenesis Pathways","year":2020,"lang":"en","type":"article","venue":"Cancers","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research; Fundação de Amparo à Pesquisa do Estado de São Paulo; Princess Margaret Cancer Foundation","keywords":"microRNA; Carcinogenesis; Lung cancer; Cancer research; Medicine; Oncology; Cancer; Internal medicine; Biology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004697668,0.0002848632,0.0004207481,0.0007588938,0.0002351677,0.000624517,0.0001831939,0.0003513051,0.00190177],"category_scores_gemma":[0.001093234,0.0001886843,0.0002437996,0.0005037112,0.0001945833,0.0001875732,0.0002359954,0.0003567854,0.0004653137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441897,"about_ca_system_score_gemma":0.0001531635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001535293,"about_ca_topic_score_gemma":0.0001860965,"domain_scores_codex":[0.9996746,0.0000692875,0.0000394128,0.0001185597,0.00007333847,0.00002491794],"domain_scores_gemma":[0.9995717,0.0001632516,0.0001460585,0.00003072,0.00004426516,0.00004401104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003305959,0.0001427618,0.6667123,0.0003585659,0.000264464,0.001084959,0.0003565445,0.001024685,0.2572094,0.0002789082,0.0007845491,0.06847696],"study_design_scores_gemma":[0.0001162601,0.001377612,0.8818361,0.00007602089,0.0003576535,0.00884854,0.0003811145,0.01055633,0.09022728,0.00142221,0.004760109,0.00004080106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917498,0.002403903,0.00402738,0.0001016171,0.00002407388,0.00002257186,0.0007029289,0.0001032901,0.0008644026],"genre_scores_gemma":[0.9964834,0.0003010815,0.002455875,0.00003212541,0.00002384184,0.00002412253,0.0004438647,0.00001152631,0.0002240506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00190177,"threshold_uncertainty_score":0.006362081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004763113463305725,"score_gpt":0.2026205646756127,"score_spread":0.197857451212307,"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."}}