{"id":"W4387023835","doi":"10.21203/rs.3.rs-3373630/v1","title":"An RNA foundation model enables discovery of disease mechanisms and candidate therapeutics","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"RNA; RNA splicing; Computational biology; Biology; Intron; Polyadenylation; Gene; Exon; Genetics; Non-coding RNA","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":[0.001087624,0.0007300684,0.0007486009,0.0009428231,0.000646034,0.001768177,0.001058193,0.001846167,0.01051312],"category_scores_gemma":[0.001355738,0.0004377014,0.001092323,0.0005981523,0.001451021,0.003680958,0.001248923,0.0016874,0.002638582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007060004,"about_ca_system_score_gemma":0.001013882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004207533,"about_ca_topic_score_gemma":0.0004856694,"domain_scores_codex":[0.9996189,0.0001087719,0.00001842507,0.00009068837,0.0001219076,0.00004128511],"domain_scores_gemma":[0.9993548,0.0002855992,0.00005544948,0.0001723607,0.00006989379,0.00006192891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003298496,0.00001790179,0.00008610457,0.00004588033,0.00001509971,0.00009962144,0.00002046128,0.009661979,0.004501048,0.9747423,0.00210613,0.008670586],"study_design_scores_gemma":[0.00002796934,0.00002811499,0.0000725204,0.00001705804,0.00001610772,0.0001258897,0.00001220971,0.07682153,0.002195902,0.9058795,0.01479082,0.00001234379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02061645,0.0008821919,0.9075106,0.005107459,0.0004186305,0.00006060024,0.0006113291,0.0006985913,0.06409419],"genre_scores_gemma":[0.5195708,0.002784812,0.4158009,0.001270937,0.0008143808,0.0004128045,0.0009075341,0.0006807275,0.05775727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01051312,"threshold_uncertainty_score":0.0351699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06532813246684208,"score_gpt":0.3926431626568144,"score_spread":0.3273150301899723,"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."}}