{"id":"W3118922803","doi":"10.1038/s41467-020-20312-y","title":"Non-invasive assessment of telomere maintenance mechanisms in brain tumors","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"U.S. Department of Health and Human Services; National Cancer Institute; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; Office of Extramural Research, National Institutes of Health; U.S. Department of Defense","keywords":"Telomere; Telomerase; Biomarker; Cancer research; Glioma; Magnetic resonance imaging; Cancer; Medicine; Biology; Bioinformatics; Internal medicine; Gene; Biochemistry; Radiology","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":[0.0002959179,0.0003452032,0.0001636862,0.0003912954,0.000141244,0.0003752536,0.0002459314,0.0003973214,0.0007231768],"category_scores_gemma":[0.0002736468,0.0001348826,0.00009877769,0.0001852906,0.0002522675,0.0003889279,0.0002595779,0.0004265499,0.0001577308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002137652,"about_ca_system_score_gemma":0.0002369818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007768224,"about_ca_topic_score_gemma":0.001279336,"domain_scores_codex":[0.999894,0.00003368878,0.000004408176,0.00002559109,0.000026632,0.00001564707],"domain_scores_gemma":[0.9998571,0.00003351922,0.00004659883,0.00001163226,0.00002961621,0.00002158399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001456258,0.00001810764,0.001107185,0.00007095806,0.00001377722,0.00005089944,0.00001923112,0.0002444499,0.994495,0.0001111222,0.00007889687,0.003644854],"study_design_scores_gemma":[0.00001524496,0.0004692579,0.01214593,0.00001769563,0.00005515529,0.0005464422,0.0001023788,0.006272033,0.9784473,0.0004114767,0.00149713,0.00001999293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466643,0.004236466,0.04554058,0.0002355945,0.00004363981,0.00006098294,0.0006783328,0.0002958818,0.002244244],"genre_scores_gemma":[0.9728279,0.002435805,0.02187207,0.0001165219,0.00002432032,0.00009768606,0.0004853291,0.00004641497,0.002093978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007768224,"threshold_uncertainty_score":0.002419293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391470093756938,"score_gpt":0.3358097877296813,"score_spread":0.321895086792112,"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."}}