{"id":"W3006090909","doi":"10.1007/s13346-020-00721-8","title":"Technological challenges in the preclinical development of an HIV nanovaccine candidate","year":2020,"lang":"en","type":"article","venue":"Drug Delivery and Translational Research","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Xunta de Galicia; Horizon 2020 Framework Programme; Ministerio de Educación, Cultura y Deporte","keywords":"Human immunodeficiency virus (HIV); Preclinical research; Computational biology; Biology; Virology; Neuroscience","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":[0.0007513786,0.00005031067,0.00008433803,0.00006038756,0.00005239418,0.000009536447,0.00009719934,0.00005927579,0.00002008719],"category_scores_gemma":[0.00003085448,0.00003447254,0.00001580645,0.0002021385,0.00008598287,0.00005632772,0.00001092959,0.0002972233,0.000005500534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004286739,"about_ca_system_score_gemma":0.00001916802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002171009,"about_ca_topic_score_gemma":0.00005651929,"domain_scores_codex":[0.9992409,0.00007842639,0.0001704389,0.0001246612,0.0002518409,0.0001336951],"domain_scores_gemma":[0.9996243,0.0002326525,0.000005326695,0.00005317448,0.00003597379,0.00004856713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000316708,0.0002276061,0.00160323,0.0003201869,0.00006385494,0.00003057062,0.005951792,0.001863389,0.009350973,0.01216252,0.00009534504,0.9680138],"study_design_scores_gemma":[0.003013617,0.0004010853,0.252418,0.000182105,0.00002644083,0.00002005689,0.00448092,0.6397103,0.04534698,0.01217001,0.04159993,0.0006305247],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926176,0.001419927,0.0002044257,0.005061759,0.000006141212,0.0000985283,0.000006682836,0.00002527645,0.0005596611],"genre_scores_gemma":[0.9988433,0.0006620638,0.0004340544,0.0000148309,0.00002478345,0.000007055266,0.000007261335,0.000003842888,0.000002826781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9673833,"threshold_uncertainty_score":0.1405749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1497990097846306,"score_gpt":0.3366769479830123,"score_spread":0.1868779381983818,"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."}}