{"id":"W2110045630","doi":"10.1172/jci68760","title":"Multicolor microRNA FISH effectively differentiates tumor types","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute of Mental Health; Eidgenössische Technische Hochschule Zürich; National Cancer Institute; National Institutes of Health; Memorial Sloan-Kettering Cancer Center; Universität Basel; Howard Hughes Medical Institute","keywords":"microRNA; Biology; Computational biology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004873063,0.0001059671,0.00022889,0.00004313343,0.00003649414,0.00004161834,0.0001421091,0.0001314942,0.00006015432],"category_scores_gemma":[0.001654876,0.0000851152,0.0002059115,0.00005588241,0.0001390249,0.00001979662,0.00004057029,0.0001574437,0.00003431344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001340698,"about_ca_system_score_gemma":0.0001086328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005938207,"about_ca_topic_score_gemma":0.000003718481,"domain_scores_codex":[0.9985743,0.0002382992,0.0007747783,0.0001511791,0.0001447175,0.0001167801],"domain_scores_gemma":[0.998412,0.0001195288,0.0007354674,0.0001371319,0.0004066882,0.0001891713],"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":[0.00008997626,0.0001096851,0.1080531,0.00002606385,0.0001213705,0.000002091612,0.00001571464,0.00004665883,0.878396,0.00001652591,0.01091197,0.002210793],"study_design_scores_gemma":[0.0007949085,0.0003436292,0.7290612,0.00004729888,0.00005444808,0.0000150226,0.0000087731,0.0003294143,0.267274,0.0008154091,0.001159351,0.00009651764],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981063,0.0001511217,0.0004890843,0.0006401621,0.0003814698,0.0001832854,0.000003530004,0.000005129113,0.0000399113],"genre_scores_gemma":[0.9958322,0.00003038649,0.002538196,0.000774877,0.0007061551,0.000004978155,0.00002343083,0.00001448196,0.00007526573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6210081,"threshold_uncertainty_score":0.3470897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867407159423965,"score_gpt":0.31889396109714,"score_spread":0.2902198895029003,"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."}}