{"id":"W3043592986","doi":"10.3390/vaccines8030392","title":"Generation of a Peptide Vaccine Candidate against Falciparum Placental Malaria Based on a Discontinuous Epitope","year":2020,"lang":"en","type":"article","venue":"Vaccines","topic":"Malaria Research and Control","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Medical Research Council; National Institute of Allergy and Infectious Diseases; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Queensland; National Institutes of Health; University of Alberta","keywords":"Epitope; Biology; Virology; Heterologous; Malaria vaccine; Keyhole limpet hemocyanin; Monoclonal antibody; Peptide; Peptide vaccine; Plasmodium falciparum; Antibody; Antigen; Computational biology; Malaria; Immunology; Genetics; Biochemistry; 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":[0.0001526638,0.0001950495,0.0004392347,0.0001201372,0.00005906685,0.00002771231,0.0001275028,0.0000715211,0.0004795678],"category_scores_gemma":[0.0003673871,0.0001482242,0.000134216,0.0002517807,0.000009345667,0.00007565843,0.00004304911,0.0001986461,0.00005020522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003449375,"about_ca_system_score_gemma":0.0001425872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001098983,"about_ca_topic_score_gemma":0.00009983547,"domain_scores_codex":[0.9985757,0.00007873648,0.0003508031,0.0003299454,0.0003373862,0.0003274565],"domain_scores_gemma":[0.9991089,0.0000545144,0.0001068189,0.0002953104,0.0001204745,0.0003140329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01987909,0.0009434834,0.07913563,0.000553826,0.0003906103,0.0004791214,0.0004301488,0.001521997,0.817381,0.001141997,0.06122755,0.0169156],"study_design_scores_gemma":[0.03872314,0.005982474,0.2067703,0.0003793394,0.0003610117,0.00002823072,0.0003136162,0.6118413,0.1162996,0.00002096487,0.01856317,0.0007168053],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336379,0.0002426299,0.0009718839,0.06126905,0.0001484797,0.001072162,0.00009699933,0.00008688267,0.002474047],"genre_scores_gemma":[0.9954694,0.00004355911,0.0003037575,0.002701344,0.0007400842,0.00004887142,0.0002255449,0.00002940763,0.0004380502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7010813,"threshold_uncertainty_score":0.6044406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02943670937294683,"score_gpt":0.2763057705867599,"score_spread":0.2468690612138131,"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."}}