{"id":"W2912476769","doi":"10.1158/1078-0432.ccr-18-0716","title":"Integrated Genomic and Functional microRNA Analysis Identifies miR-30-5p as a Tumor Suppressor and Potential Therapeutic Nanomedicine in Head and Neck Cancer","year":2019,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Institute on Deafness and Other Communication Disorders; National Cancer Institute; National Institutes of Health","keywords":"Head and neck squamous-cell carcinoma; microRNA; Cancer research; Biology; DNA methylation; Suppressor; Methylation; Cell growth; Cancer; Head and neck cancer; Gene; Gene expression; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007945044,0.0001374186,0.000299637,0.0001820166,0.00007444092,0.00006412477,0.0001042681,0.0001473862,0.0005887677],"category_scores_gemma":[0.000104787,0.0001178848,0.00007120342,0.0002800121,0.0004644343,0.000009597953,0.0002071759,0.0002914439,0.000009080501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005028658,"about_ca_system_score_gemma":0.0002786998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148934,"about_ca_topic_score_gemma":0.0009435257,"domain_scores_codex":[0.9981985,0.0002761634,0.0003678075,0.0006296057,0.000228412,0.0002994971],"domain_scores_gemma":[0.9992371,0.00008702645,0.00007214939,0.0002482982,0.0001918455,0.000163535],"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":[0.0009910057,0.00005831764,0.2612441,0.00006373796,0.000346511,0.000006395756,0.00003163027,0.00004064095,0.7346396,0.000006112321,0.0004207742,0.0021511],"study_design_scores_gemma":[0.00209193,0.0002592565,0.9826245,0.00005882435,0.0001283254,0.000007002344,0.0000946193,0.0007251363,0.00980637,0.0001244653,0.003927022,0.0001525173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787548,0.01990795,0.00001717706,0.0007229539,0.0001331484,0.0003727337,0.00006082102,0.000004628465,0.00002578846],"genre_scores_gemma":[0.9957201,0.002976405,0.00002388767,0.0002306467,0.0001984626,0.00006934805,0.00008916664,0.00001815876,0.0006737905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7248333,"threshold_uncertainty_score":0.6446594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05614842772212125,"score_gpt":0.4127423691352675,"score_spread":0.3565939414131462,"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."}}