{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006391591,0.0005447143,0.0003617633,0.0006251119,0.0002197664,0.0003456258,0.0002709794,0.000416449,0.001635113],"category_scores_gemma":[0.0005694733,0.0003261201,0.0001880431,0.000146318,0.0003936377,0.0004260295,0.0003846109,0.0003886553,0.0006576571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003513657,"about_ca_system_score_gemma":0.0002454364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005987946,"about_ca_topic_score_gemma":0.001744444,"domain_scores_codex":[0.9996117,0.0000513713,0.00004055121,0.0001696616,0.00006407698,0.00006273319],"domain_scores_gemma":[0.9996862,0.0001227744,0.00004978865,0.00005342948,0.00005565407,0.00003216529],"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":[0.0001092764,0.000009323674,0.001395985,0.00003364664,0.000003687027,0.00002778022,0.00002490381,0.00005693426,0.9941613,0.00006691467,0.00003770848,0.004072648],"study_design_scores_gemma":[0.00001424895,0.0002417737,0.01210311,0.000008946321,0.00002743094,0.0009116954,0.00005708365,0.002140809,0.9823427,0.0002211283,0.001915036,0.00001606017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9122166,0.001529624,0.0798681,0.0002134395,0.00004391068,0.0001716514,0.0004210464,0.0009016765,0.004633967],"genre_scores_gemma":[0.8967209,0.0007119218,0.0979515,0.0001690913,0.00001463625,0.0001665075,0.0004972419,0.0001332496,0.00363491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001635113,"threshold_uncertainty_score":0.005469978,"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."}}