{"id":"W2586074121","doi":"10.5539/jmbr.v7n1p20","title":"miRNA in Cancer Pathology","year":2017,"lang":"en","type":"article","venue":"Journal of Molecular Biology Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"microRNA; Biology; Gene; Computational biology; Translation (biology); Gene expression; Regulation of gene expression; Function (biology); Bioinformatics; Genetics; Messenger RNA","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076229,0.0004570237,0.0008312097,0.001454515,0.0006409889,0.00169229,0.0005796076,0.00197885,0.007020493],"category_scores_gemma":[0.001696229,0.0001838705,0.0003783449,0.001380588,0.001685301,0.001275025,0.001358618,0.003035486,0.003726255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109031,"about_ca_system_score_gemma":0.001473538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007328071,"about_ca_topic_score_gemma":0.0006462922,"domain_scores_codex":[0.9993244,0.0002016789,0.00008297023,0.0001398054,0.0001752789,0.00007594196],"domain_scores_gemma":[0.999146,0.0003316141,0.0001076925,0.00006719318,0.0002168588,0.0001306084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002254722,0.00007992482,0.002291433,0.003113474,0.00008248087,0.001836239,0.0004850819,0.0004984711,0.00665585,0.114104,0.1528668,0.7177609],"study_design_scores_gemma":[0.00001189631,0.00007699819,0.001142471,0.0007136428,0.00002902985,0.00379952,0.0001123672,0.0001582053,0.001135773,0.02303881,0.9697629,0.00001829733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001688719,0.9445776,0.003744233,0.01913032,0.006872829,0.00002719278,0.000159331,0.0001684254,0.02363141],"genre_scores_gemma":[0.05256782,0.8892028,0.006889404,0.01348009,0.01367768,0.0001072816,0.0003637413,0.00009133208,0.02361993],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007020493,"threshold_uncertainty_score":0.0234859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05683641872946418,"score_gpt":0.4521751144264739,"score_spread":0.3953386956970097,"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."}}