{"id":"W3216508191","doi":"10.3390/cells10123374","title":"MicroRNA Cues from Nature: A Roadmap to Decipher and Combat Challenges in Human Health and Disease?","year":2021,"lang":"en","type":"review","venue":"Cells","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; microRNA; Computational biology; Torpor; Disease; Hypoxia (environmental); Bioinformatics; Gene; Genetics; Ecology; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001088536,0.0003033205,0.0006979549,0.00006499838,0.00004574221,0.00004167547,0.0001392144,0.0003581461,0.00001527212],"category_scores_gemma":[0.00003458843,0.0002917753,0.0001178575,0.00006473473,0.00004467522,0.000002279036,0.0002506265,0.0001826098,0.000004397161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003898548,"about_ca_system_score_gemma":0.0002573204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001726713,"about_ca_topic_score_gemma":0.00009864204,"domain_scores_codex":[0.9984556,0.0002067313,0.000311885,0.0007204646,0.00008554319,0.0002197812],"domain_scores_gemma":[0.9989386,0.00002291368,0.0001366127,0.0004417653,0.00002730756,0.0004328625],"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":[0.00003177844,0.0002234189,0.0001328204,0.01426166,0.0003066694,0.00005273012,0.0002228529,0.00000129034,0.01215713,0.0001096455,0.01565696,0.956843],"study_design_scores_gemma":[0.0001920535,0.0000416527,0.0003861596,0.004232406,0.0000804684,0.000003512509,0.00002431726,3.790875e-7,0.0003828373,0.000052947,0.994289,0.0003142965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008629712,0.9903576,0.000005924594,0.0001733112,0.0001041732,0.0005243968,0.0001635875,0.000006268878,0.00003498497],"genre_scores_gemma":[0.0009725863,0.9969538,0.0001901205,0.0002666588,0.0002015832,0.00004153566,0.001217464,0.00004754073,0.0001086849],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.978632,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03480415743047195,"score_gpt":0.3308516169139905,"score_spread":0.2960474594835185,"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."}}