{"id":"W2920311696","doi":"10.1038/s10038-019-0583-7","title":"Previously undescribed thyroid-specific miRNA sequences in papillary thyroid carcinoma","year":2019,"lang":"en","type":"article","venue":"Journal of Human Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Canadian Centre for Applied Research in Cancer Control; Occupational Cancer Research Centre","funders":"Canadian Institutes of Health Research; Fundação de Amparo à Pesquisa do Estado de São Paulo; Government of Canada","keywords":"Thyroid carcinoma; microRNA; Thyroid; Biology; Malignancy; Computational biology; Small RNA; Cancer research; Pathology; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003201589,0.0001768657,0.0002421735,0.0001327025,0.00004357709,0.00004345687,0.0003582651,0.0001501173,0.00007491672],"category_scores_gemma":[0.00001603458,0.0001636608,0.0001606433,0.0001039103,0.0000703846,0.000009089247,0.00008384274,0.0001631821,0.00001578936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007418981,"about_ca_system_score_gemma":0.0001574733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003736994,"about_ca_topic_score_gemma":0.00002209916,"domain_scores_codex":[0.9985486,0.0001160779,0.0005722023,0.000229181,0.0002715677,0.000262338],"domain_scores_gemma":[0.9989417,0.0000109241,0.0003849632,0.0003697811,0.000179491,0.0001131029],"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":[0.00006170888,0.00006469173,0.0441318,0.00003066043,0.0000333441,0.00002634824,0.0001212838,0.0004885751,0.9521155,0.00003955124,0.002629883,0.0002566128],"study_design_scores_gemma":[0.003486397,0.003299481,0.3266937,0.0001887054,0.00007623627,0.0003591294,0.0004818183,0.00009626974,0.6427326,0.001381509,0.02048965,0.0007145765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750959,0.02380907,0.00005493691,0.00006003026,0.0002802229,0.0002123538,0.000004490753,0.00000343829,0.0004795264],"genre_scores_gemma":[0.9973909,0.001202491,0.0006078205,0.00008090251,0.0003790022,0.00000186847,0.00002267674,0.00003012258,0.0002842744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.309383,"threshold_uncertainty_score":0.6673896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520008939190528,"score_gpt":0.2520773198439403,"score_spread":0.236877230452035,"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."}}