{"id":"W2018777866","doi":"10.1089/dna.2007.0616","title":"Optimization of a DNA Vaccine Against SARS","year":2007,"lang":"en","type":"article","venue":"DNA and Cell Biology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia; Defence Research and Development Canada; University of Saskatchewan","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Saskatchewan Health Research Foundation","keywords":"Biology; Virology; DNA; Recombinant DNA; Genetics; Computational biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002364814,0.00007341657,0.0001849366,0.0001213677,0.0000254959,0.00000241417,0.00004700804,0.0001243414,0.0000149395],"category_scores_gemma":[0.0000394897,0.00005687413,0.00003469741,0.0001426612,0.00005649767,0.00001471388,0.00003197927,0.00008444094,0.000009136202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001372333,"about_ca_system_score_gemma":0.00004000299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003137075,"about_ca_topic_score_gemma":0.000008922861,"domain_scores_codex":[0.9993871,0.00002259459,0.0001734293,0.0001603284,0.00005655947,0.0001999738],"domain_scores_gemma":[0.9996756,0.00006321984,0.00004280684,0.0001294401,0.00006203364,0.00002685755],"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":[0.0002899075,0.00008533,0.0369736,0.00005692464,0.00001722447,0.00001738628,0.000102511,0.000001910864,0.9485142,0.00008132713,0.0001307326,0.01372894],"study_design_scores_gemma":[0.001781883,0.0005310721,0.00437246,0.00001485914,0.00002114435,0.000009192088,0.0001041189,0.0006091033,0.9354069,0.00005743158,0.05701111,0.00008072019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808907,0.0005833848,0.00155999,0.0001094614,0.00006582534,0.0001351166,0.000002930108,0.00001713159,0.01663548],"genre_scores_gemma":[0.9916474,0.00006796265,0.0003368593,0.007790314,0.00008281443,0.000002605263,0.00001752284,0.000007855275,0.00004661721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05688037,"threshold_uncertainty_score":0.2319259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257933211727664,"score_gpt":0.3173044974791939,"score_spread":0.2947251653619173,"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."}}