{"id":"W2949477413","doi":"10.1038/s41598-018-38107-z","title":"miPIE: NGS-based Prediction of miRNA Using Integrated Evidence","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Computer science; Computational biology; microRNA; Bioinformatics; Biology; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001781761,0.001014909,0.001042254,0.001536931,0.0002835312,0.001105765,0.0009811036,0.000828428,0.001864032],"category_scores_gemma":[0.005466754,0.0005328699,0.001104648,0.0008026777,0.0004602956,0.0009668883,0.001262839,0.001233544,0.0008748781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003657094,"about_ca_system_score_gemma":0.0008115863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007459807,"about_ca_topic_score_gemma":0.001621794,"domain_scores_codex":[0.9991222,0.000154517,0.00008031035,0.0002143886,0.0003781683,0.00005046826],"domain_scores_gemma":[0.9980271,0.001322172,0.0002873579,0.0001326212,0.0001812646,0.00004941011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001307153,0.0003206482,0.04190505,0.001450762,0.0007378,0.001207713,0.0002009361,0.1337123,0.2214115,0.009573002,0.004516562,0.5836566],"study_design_scores_gemma":[0.00007718289,0.0002836522,0.00786928,0.0001155879,0.0002163929,0.0007430053,0.0000414606,0.8660603,0.1087699,0.006864916,0.008884001,0.0000742815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04621398,0.0007972684,0.9454088,0.000168715,0.00002947726,0.0001265485,0.001103075,0.00458995,0.001562034],"genre_scores_gemma":[0.3318194,0.0006981799,0.6603264,0.0001850264,0.00004447313,0.0003026158,0.004210238,0.0003399446,0.002073581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001864032,"threshold_uncertainty_score":0.009422958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095392607831004,"score_gpt":0.2656501182860393,"score_spread":0.2446961922077293,"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."}}