{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002310782,0.000356872,0.000330132,0.0003788464,0.0001554293,0.0002767441,0.0002936961,0.0002733376,0.0009431892],"category_scores_gemma":[0.0002410319,0.0002193937,0.0003182121,0.000163703,0.0002031951,0.0001004459,0.0001619653,0.000283711,0.000424213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004609857,"about_ca_system_score_gemma":0.0004535425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008136553,"about_ca_topic_score_gemma":0.001479566,"domain_scores_codex":[0.9997903,0.00002879118,0.00001713326,0.00005231773,0.00008344521,0.00002804787],"domain_scores_gemma":[0.9998835,0.00002348102,0.00004247332,0.00001093406,0.00001736086,0.00002220655],"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":[0.0001458312,0.0000247277,0.0006424536,0.00002992394,0.00001164042,0.0000455328,0.000004614928,0.0002263437,0.996922,0.00006461833,0.00004127138,0.001841111],"study_design_scores_gemma":[0.00003089352,0.0005592806,0.01226482,0.000005162816,0.00007661651,0.0006079288,0.00001515585,0.00458351,0.9797497,0.0001227292,0.00197614,0.000007931056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871958,0.002183804,0.007630218,0.0001119988,0.00002702222,0.000103967,0.001203217,0.0002152734,0.001328622],"genre_scores_gemma":[0.9888002,0.0004867188,0.008204957,0.00008025114,0.00000616252,0.00006502103,0.001478958,0.00002895305,0.0008487567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009431892,"threshold_uncertainty_score":0.003344655,"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."}}