{"id":"W1990291172","doi":"10.1371/journal.pone.0080844","title":"Meta-Analysis Using a Novel Database, miRStress, Reveals miRNAs That Are Frequently Associated with the Radiation and Hypoxia Stress-Responses","year":2013,"lang":"en","type":"review","venue":"PLoS ONE","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre","funders":"Cancer and Polio Research Fund; Oxford Brookes University","keywords":"microRNA; Biology; Computational biology; Hypoxia (environmental); Bioinformatics; Environmental stress; Database; Genetics; Computer science; Evolutionary biology; Gene; Chemistry","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":[0.006553782,0.002309103,0.005589877,0.01934672,0.001268701,0.00347106,0.00217812,0.001635716,0.003652159],"category_scores_gemma":[0.01899411,0.0009109552,0.008935949,0.0143733,0.0005776302,0.001722724,0.002704665,0.001536524,0.001120611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049343,"about_ca_system_score_gemma":0.002901993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003903379,"about_ca_topic_score_gemma":0.007916971,"domain_scores_codex":[0.9924891,0.001612196,0.001693493,0.002812136,0.00110983,0.0002832028],"domain_scores_gemma":[0.9805997,0.01381899,0.002240198,0.001767329,0.001003321,0.0005703998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.009299669,0.000479264,0.3042274,0.1653345,0.1645849,0.006441033,0.002501414,0.0149243,0.09295122,0.006271966,0.06456434,0.1684201],"study_design_scores_gemma":[0.001194646,0.001253894,0.339402,0.01199769,0.1765464,0.006728936,0.001715475,0.02788355,0.03893703,0.01194294,0.3814801,0.0009174653],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.175617,0.1447925,0.04761378,0.001892959,0.0008513638,0.0006706343,0.6113182,0.0124011,0.004842302],"genre_scores_gemma":[0.3869494,0.02936291,0.1129242,0.00175114,0.0003127748,0.002282307,0.4614924,0.003434111,0.001490795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01934672,"threshold_uncertainty_score":0.03466016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2255592050537288,"score_gpt":0.312631643840084,"score_spread":0.08707243878635518,"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."}}