{"id":"W4412491497","doi":"10.1038/s41591-025-03848-8","title":"Clinical utility of targeted RNA sequencing in cancer molecular diagnostics","year":2025,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation","funders":"","keywords":"Molecular diagnostics; RNA; DNA sequencing; Computational biology; Medicine; Targeted therapy; Cancer; Bioinformatics; DNA; Biology; Internal medicine; Gene; Genetics","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":[0.003380262,0.0005211728,0.0004989388,0.0008257945,0.0002466031,0.001353541,0.0004731398,0.001111845,0.00267295],"category_scores_gemma":[0.005729095,0.0002186649,0.000323992,0.0003882835,0.0006822343,0.0004715878,0.0003631361,0.0007908228,0.001410588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000439917,"about_ca_system_score_gemma":0.0005858182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004323023,"about_ca_topic_score_gemma":0.0006424724,"domain_scores_codex":[0.998298,0.0009152386,0.00005969289,0.0002504303,0.0003970483,0.0000796008],"domain_scores_gemma":[0.9961766,0.002608503,0.0002265066,0.0002235567,0.0005886088,0.0001761603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002771852,0.000258737,0.07219278,0.0007957413,0.0002094331,0.002137406,0.0002675879,0.003397824,0.3622351,0.007466816,0.009862187,0.5384046],"study_design_scores_gemma":[0.0004899752,0.00602369,0.1001797,0.001105531,0.001155565,0.02354812,0.0008024026,0.07231715,0.5974252,0.04784302,0.1489345,0.0001750049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4572442,0.1683181,0.2798252,0.02780416,0.002913895,0.0005907548,0.002367054,0.002942848,0.05799383],"genre_scores_gemma":[0.9119448,0.0183702,0.05665694,0.006290453,0.0012153,0.0001763367,0.0006105507,0.0001907265,0.004544743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003380262,"threshold_uncertainty_score":0.0178768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124570026790846,"score_gpt":0.3503712420946745,"score_spread":0.3379142394155899,"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."}}