{"id":"W3127237746","doi":"10.48550/arxiv.2102.00925","title":"Neural representation and generation for RNA secondary structures","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Representation (politics); Nucleic acid secondary structure; RNA; Computer science; Artificial intelligence; Biology; Computational biology; Genetics; Political science; Gene","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":[0.00047103,0.0005104063,0.0004567404,0.0005254491,0.0002456017,0.0006482404,0.0009883201,0.000873487,0.001902433],"category_scores_gemma":[0.001748111,0.0003516107,0.0006363525,0.0004101707,0.0006808317,0.00100941,0.0008027767,0.001087243,0.0004785371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008148421,"about_ca_system_score_gemma":0.0004711293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738035,"about_ca_topic_score_gemma":0.003137838,"domain_scores_codex":[0.999797,0.00005524036,0.00000804209,0.00006998396,0.00004090826,0.00002882877],"domain_scores_gemma":[0.9994866,0.0003061442,0.00004654724,0.00006227788,0.00007412762,0.00002430355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009860482,0.00005503899,0.0005492889,0.0001129574,0.00003848186,0.00009737976,0.00008647443,0.8109048,0.01499769,0.04106579,0.002471115,0.1295224],"study_design_scores_gemma":[0.000002775816,0.000009397364,0.00003373854,0.000002899409,0.000002028848,0.000006252184,0.000003371877,0.9886453,0.001145598,0.009947163,0.0001994546,0.000002002036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06296086,0.0004776542,0.9315561,0.0004367489,0.0000680625,0.00004406086,0.0002353065,0.001163987,0.003057149],"genre_scores_gemma":[0.8011287,0.0004169112,0.1916072,0.0002700158,0.0000798127,0.0001609534,0.0009638765,0.000265682,0.005106834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001902433,"threshold_uncertainty_score":0.006364286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06562602033003653,"score_gpt":0.2105336906760884,"score_spread":0.1449076703460519,"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."}}