{"id":"W3023046164","doi":"10.1101/2020.05.04.077115","title":"A Second Generation Leishmanization Vaccine with a Markerless Attenuated <i>Leishmania major</i> Strain using CRISPR gene editing","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Research on Leishmaniasis Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Global Health Innovative Technology Fund","keywords":"Leishmania; CRISPR; Biology; Genome editing; Immune system; Leishmania major; Cutaneous leishmaniasis; Leishmaniasis; Vaccination; Virology; Vector (molecular biology); Attenuated vaccine; Immunization; Strain (injury); Gene; Tropical disease; Immunology; Microbiology; Disease; Parasite hosting; Medicine; Genetics; Virulence; Recombinant DNA; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000151774,0.000531839,0.0002545864,0.0001993374,0.0001180503,0.0003366096,0.0002832396,0.0005083612,0.002533843],"category_scores_gemma":[0.00008582795,0.0001477952,0.0003056498,0.000103618,0.0002008471,0.000197841,0.0002703551,0.0008773839,0.0009232083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199653,"about_ca_system_score_gemma":0.0001605302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003271527,"about_ca_topic_score_gemma":0.0003196991,"domain_scores_codex":[0.9998664,0.0000157776,0.00001128777,0.00004330744,0.00003542942,0.00002776832],"domain_scores_gemma":[0.9999233,0.000009974102,0.00002712711,0.00001144981,0.000007930955,0.00002010977],"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":[0.00004644315,0.00002365542,0.00004527174,0.00002111472,0.000003432885,0.00002606161,0.000004642665,0.00004445771,0.9988983,0.00007650437,0.0001185099,0.0006915922],"study_design_scores_gemma":[0.00002143242,0.0002714758,0.0005484141,0.000004781955,0.00001174633,0.0002310529,0.000007717128,0.0005916107,0.9934269,0.00002758094,0.004851879,0.000005405276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345372,0.001009171,0.05228475,0.0006942549,0.0003813909,0.0003075949,0.002694621,0.0015493,0.006541677],"genre_scores_gemma":[0.9607985,0.000473908,0.01753717,0.0002578936,0.00003886959,0.0001814902,0.002820942,0.0001906531,0.01770066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002533843,"threshold_uncertainty_score":0.008476555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03390365249036783,"score_gpt":0.2626473118855662,"score_spread":0.2287436593951984,"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."}}