{"id":"W2956334572","doi":"10.3390/genes10070523","title":"Synthetic DNA and RNA Programming","year":2019,"lang":"en","type":"editorial","venue":"Genes","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Synthetic biology; Computational biology; RNA; Biology; DNA; Molecular cell biology; Genetics; Gene; 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":[0.0035282,0.00199031,0.0009450106,0.0009614006,0.001096271,0.00329312,0.001581899,0.006781801,0.005065778],"category_scores_gemma":[0.008349582,0.0006210651,0.0007956662,0.0004546525,0.002876872,0.002776353,0.00143842,0.01394243,0.003518684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114123,"about_ca_system_score_gemma":0.001548774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005225737,"about_ca_topic_score_gemma":0.001147403,"domain_scores_codex":[0.9970232,0.0007460346,0.0003327542,0.0004366776,0.001298323,0.0001629883],"domain_scores_gemma":[0.9946577,0.003433284,0.0002777317,0.0001281302,0.001000545,0.0005026285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001379192,0.0000212405,0.00003661701,0.0007067607,0.00002804751,0.0002799699,0.00006250483,0.0002008048,0.001784612,0.01175829,0.9500523,0.03493098],"study_design_scores_gemma":[0.0000211074,0.00002550726,0.00002654254,0.0001050612,0.000009414916,0.0001637392,0.00001421568,0.0001035417,0.0009819948,0.003398859,0.9951389,0.00001109857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001987078,0.03559912,0.001548313,0.06810001,0.8899739,0.00002754829,0.0000519028,0.0001061284,0.004394414],"genre_scores_gemma":[0.005003773,0.04899836,0.001876631,0.09009867,0.8047593,0.0001141065,0.00008521508,0.0001992216,0.04886474],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.006781801,"threshold_uncertainty_score":0.01865911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003860162853797432,"score_gpt":0.2684895410953251,"score_spread":0.2646293782415277,"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."}}