{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001067077,0.0002263089,0.0001975136,0.00003695985,0.00003741539,0.00004494304,0.0001536034,0.0005247213,0.000006942334],"category_scores_gemma":[0.0001145816,0.0002221506,0.00007344202,0.00002951266,0.00003660242,8.633415e-7,0.0001468122,0.0001374908,0.00001480775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007129864,"about_ca_system_score_gemma":0.0000773553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009680341,"about_ca_topic_score_gemma":0.0000120102,"domain_scores_codex":[0.9989997,0.00001579409,0.0001416295,0.0004365964,0.0001633785,0.0002429495],"domain_scores_gemma":[0.9994324,0.00002777999,0.00004884828,0.0003707663,0.00005769079,0.00006252314],"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":[0.00002169183,0.00001651158,0.00003034226,0.0003263469,0.0001050506,0.000004058818,0.00003295249,0.00005884457,0.2083722,0.000002727593,0.7058213,0.08520795],"study_design_scores_gemma":[0.0001595834,0.0001078024,0.000008821631,0.00003542388,0.00003950375,0.000003801036,0.00001537446,0.00001130382,0.06477993,0.000003581339,0.9345768,0.0002580688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.01783848,0.03880411,0.001687755,0.00002997979,0.940469,0.0003852641,0.00007997997,0.0000399454,0.0006654556],"genre_scores_gemma":[0.0157357,0.004772662,0.00120339,0.00001745905,0.9724557,0.00005361684,0.0006019008,0.000114689,0.005044866],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2287555,"threshold_uncertainty_score":0.9059038,"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."}}