{"id":"W3155822199","doi":"10.24908/iqurcp.10698","title":"14. Mapping, Curation, and Evolutionary Conservation of Macaque miRNA","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","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; Macaque; Computational biology; Rhesus macaque; Genome; Untranslated region; Gene expression profiling; Genetics; Human genome; Gene expression; Gene; RNA; Neuroscience","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":[0.001844365,0.000275281,0.000382036,0.001793521,0.001622419,0.001447458,0.0006223639,0.0004411452,0.004661283],"category_scores_gemma":[0.003130811,0.0002880465,0.0004778799,0.001242267,0.0003528373,0.0003144071,0.001051342,0.0004641298,0.003286925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009200993,"about_ca_system_score_gemma":0.001286288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01547976,"about_ca_topic_score_gemma":0.0242627,"domain_scores_codex":[0.9991683,0.00009997399,0.0001054831,0.0003182932,0.0002475598,0.00006041777],"domain_scores_gemma":[0.9988919,0.0001480751,0.0001559621,0.0001936136,0.0005357845,0.00007468486],"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":[0.000622893,0.0001058337,0.06946927,0.0008284274,0.0001185952,0.001352021,0.003486675,0.0009141298,0.4744003,0.005076805,0.03652576,0.4070994],"study_design_scores_gemma":[0.00004512187,0.0003349403,0.2460786,0.0001827334,0.0001808934,0.002185666,0.0008822553,0.006843225,0.1954922,0.002111223,0.5455869,0.0000762399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.762633,0.005022825,0.1403821,0.002599834,0.0009808278,0.001210465,0.03441463,0.006830437,0.04592589],"genre_scores_gemma":[0.3488116,0.00221328,0.5439239,0.0008946782,0.000133737,0.001165629,0.04892407,0.001890006,0.05204322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01547976,"threshold_uncertainty_score":0.03077936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06633478252838863,"score_gpt":0.3456296239347097,"score_spread":0.279294841406321,"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."}}