{"id":"W4380238590","doi":"10.1101/2023.06.09.544435","title":"Innovative approach for vaccinating Nile tilapia, <i>Oreochromis niloticus</i> against <i>Streptococcus agalactiae</i> using an ozone nanobubble pre-treatment, VAC in BAG and VAC in FEED","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Health and Social Care; International Development Research Centre; Government of the United Kingdom","keywords":"Nile tilapia; Oreochromis; Streptococcus agalactiae; Vaccination; Gill; Booster dose; Microbiology; Immunization; Biology; Antibody; Immunity; Medicine; Veterinary medicine; Immunology; Immune system; Fishery; Streptococcus; Fish <Actinopterygii>; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007911857,0.0002364014,0.0002162567,0.0001323465,0.00009337671,0.0002384507,0.0002014291,0.0002408047,0.0003803803],"category_scores_gemma":[0.00004639341,0.00009137629,0.0002490895,0.00005382988,0.0001317738,0.0001473939,0.0001822985,0.0002440955,0.0001022955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001587014,"about_ca_system_score_gemma":0.0002071232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006320978,"about_ca_topic_score_gemma":0.001188499,"domain_scores_codex":[0.9999394,0.000006182986,0.000003957941,0.00001721443,0.00001960154,0.00001362547],"domain_scores_gemma":[0.9999744,0.000001977515,0.000009740892,0.000001859433,0.000005280599,0.000006797308],"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":[0.00006595812,0.00004296752,0.0002363496,0.00004365124,0.000003976054,0.00001054948,0.000006664483,0.00008513365,0.9973354,0.00002262388,0.0000160729,0.002130721],"study_design_scores_gemma":[0.00004037004,0.003565543,0.006820458,0.00001111242,0.00004712454,0.0001830784,0.00008098305,0.001827898,0.9842867,0.00005839997,0.003065323,0.00001297333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895035,0.0008074312,0.008625623,0.0001165139,0.0000430885,0.00009624276,0.0001146089,0.00006263489,0.0006303432],"genre_scores_gemma":[0.9861991,0.0006355825,0.01156511,0.00008565908,0.000007649309,0.00009655896,0.0001522356,0.000006203147,0.00125179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006320978,"threshold_uncertainty_score":0.00127244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354041257201931,"score_gpt":0.2483656365328432,"score_spread":0.2248252239608239,"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."}}