{"id":"W1964893128","doi":"10.1002/anie.201310509","title":"Cover Picture: Recoding the Genetic Code with Selenocysteine (Angew. Chem. Int. Ed. 1/2014)","year":2013,"lang":"en","type":"paratext","venue":"Angewandte Chemie International Edition","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":912,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Selenocysteine; Cover (algebra); Genetic code; Stop codon; Selenoprotein; Translation (biology); Transfer RNA; Genetics; Chemistry; Biology; Biochemistry; Amino acid; RNA; Gene; Enzyme; Messenger RNA; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002835122,0.0006617637,0.0005795389,0.0001421439,0.0002313152,0.0003243781,0.00099656,0.0008394152,0.01678385],"category_scores_gemma":[0.0001855582,0.0004215045,0.0002184118,0.000194643,0.0002444596,0.0002762572,0.0001548338,0.001031706,0.01056794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008108147,"about_ca_system_score_gemma":0.00005876764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002476421,"about_ca_topic_score_gemma":0.00002362795,"domain_scores_codex":[0.9967511,0.000126373,0.0007198166,0.0008802986,0.0009861789,0.0005362033],"domain_scores_gemma":[0.9973555,0.0004366995,0.0008305089,0.0005657618,0.0006711143,0.0001404754],"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":[0.0002227606,0.00006434415,0.0000828695,0.0001125242,0.0002532181,0.000004173959,0.0001414397,0.00007284556,0.03017208,0.00001041433,0.9682412,0.0006221279],"study_design_scores_gemma":[0.0006594445,0.0001575919,0.0002830011,0.0004488608,0.0001013122,0.0001279456,0.00006524007,0.00007415004,0.3246107,0.00009242437,0.6728858,0.0004935029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07477249,0.02404779,0.009193487,0.02825281,0.1603096,0.007177435,0.005294622,0.001069764,0.689882],"genre_scores_gemma":[0.7984473,0.003578598,0.001127232,0.005479679,0.06106324,0.001427461,0.01547092,0.0003521938,0.1130533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7236748,"threshold_uncertainty_score":0.9998237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618489131787716,"score_gpt":0.2593901174536439,"score_spread":0.2432052261357667,"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."}}