{"id":"W29517428","doi":"10.1007/978-3-642-00489-6_3","title":"Synthetic Canonical miRNA Technology","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Non canonical; microRNA; Computer science; Biology; Genetics; Cell biology","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":[0.000330318,0.0007122264,0.0005494585,0.0006029716,0.0004040766,0.001029226,0.0007470172,0.0005638172,0.007673046],"category_scores_gemma":[0.00018968,0.0004605855,0.0003484151,0.0005000929,0.0006154533,0.0009993784,0.0008887572,0.001547994,0.009957936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005372652,"about_ca_system_score_gemma":0.0004676493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462468,"about_ca_topic_score_gemma":0.0002992803,"domain_scores_codex":[0.9996831,0.00002771105,0.00001677493,0.00009095527,0.000147238,0.00003407789],"domain_scores_gemma":[0.9999442,0.00001270129,0.00000670698,0.00001491959,0.00001317405,0.000008227185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008543802,0.00005093221,0.00009682763,0.0007171733,0.0000196601,0.0002705092,0.0001648995,0.000494541,0.6327395,0.11148,0.01875477,0.2351258],"study_design_scores_gemma":[0.000009501611,0.00008178276,0.0001095047,0.00003585498,0.0000140941,0.0008801905,0.00001978143,0.0008900828,0.510263,0.008990495,0.4786828,0.00002285084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03192452,0.04095197,0.5563511,0.001303143,0.002782889,0.0003764867,0.00125123,0.004549296,0.3605094],"genre_scores_gemma":[0.1858524,0.04374355,0.2046451,0.001417788,0.000544964,0.0006623694,0.002827343,0.001167416,0.559139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007673046,"threshold_uncertainty_score":0.02566892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009352840958308219,"score_gpt":0.2280186911090442,"score_spread":0.218665850150736,"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."}}