{"id":"W2061847404","doi":"10.1186/1742-4690-6-s3-p327","title":"P19-07. Development of a protective HIV/SIV vaccine based on a self-boosting cytomegalovirus vector","year":2009,"lang":"en","type":"article","venue":"Retrovirology","topic":"Cytomegalovirus and herpesvirus research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Health Canada","funders":"","keywords":"Medicine; Virology; Boosting (machine learning); Human immunodeficiency virus (HIV); Cytomegalovirus; Immunology; Computer science; Artificial intelligence; Viral disease","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":[0.0001958987,0.000368352,0.0002045149,0.0002188505,0.0001548172,0.0002424276,0.0003940723,0.0003754566,0.003959341],"category_scores_gemma":[0.00009285903,0.00009827524,0.0004120113,0.0001251417,0.0001173123,0.0001726553,0.0001855922,0.0005567141,0.001523516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001900482,"about_ca_system_score_gemma":0.0005315864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000632014,"about_ca_topic_score_gemma":0.0004775595,"domain_scores_codex":[0.9999079,0.00001382198,0.000006721054,0.00001808655,0.00003235111,0.00002129808],"domain_scores_gemma":[0.9999546,0.000003984269,0.000006183074,0.00000470174,0.00001341368,0.00001705],"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":[0.0005733693,0.001238576,0.0006512654,0.0001893945,0.0000189555,0.0001282469,0.00002547479,0.0004153149,0.9554139,0.001079288,0.0010359,0.03923031],"study_design_scores_gemma":[0.0003452212,0.007356997,0.004178171,0.00003474866,0.00007329709,0.0006248901,0.00001890687,0.002279782,0.9483161,0.0002841912,0.03647851,0.000009186298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114935,0.005004589,0.0463677,0.0006263001,0.0006007956,0.003001279,0.003375283,0.0006582692,0.02887229],"genre_scores_gemma":[0.8673031,0.005309782,0.07378608,0.000515194,0.0001505422,0.001662629,0.01282897,0.0001795005,0.03826421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003959341,"threshold_uncertainty_score":0.01324528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029253873165815,"score_gpt":0.2970804592426562,"score_spread":0.276787920510998,"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."}}