{"id":"W2964322263","doi":"10.1016/j.vetmic.2019.07.014","title":"Immunoproteomic analysis of Lawsonia intracellularis identifies candidate neutralizing antibody targets for use in subunit vaccine development","year":2019,"lang":"en","type":"article","venue":"Veterinary Microbiology","topic":"Veterinary medicine and infectious diseases","field":"Veterinary","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lawsonia intracellularis; Biology; Recombinant DNA; Bacterial outer membrane; Microbiology; Protein subunit; Escherichia coli; Molecular biology; Virology; Gene; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004324129,0.0003758645,0.001015827,0.001093254,0.00009655492,0.00003215506,0.0003347321,0.0002117033,0.0006230078],"category_scores_gemma":[0.0000420298,0.0003626799,0.0002743444,0.0007078265,0.00007705965,0.0003314655,0.0002366538,0.0001962461,0.00006061824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231024,"about_ca_system_score_gemma":0.00009715231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117268,"about_ca_topic_score_gemma":0.0001995181,"domain_scores_codex":[0.9975013,0.0002466469,0.0009434451,0.0006315845,0.00006497828,0.000612073],"domain_scores_gemma":[0.9986907,0.0002086439,0.0003374188,0.0005747157,0.0001133291,0.00007516211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002283711,0.0002666826,0.06608761,0.0002623966,0.001016968,0.0001975584,0.0005728504,0.00006999448,0.928928,0.00001807129,0.00009032767,0.000205874],"study_design_scores_gemma":[0.01091351,0.02267379,0.6873587,0.0007208372,0.002006102,0.002748791,0.00117608,0.002375203,0.2138253,0.00005175923,0.05355525,0.002594759],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970689,0.0007447926,0.0003405524,0.00002939693,0.0005202357,0.0009537674,0.0002419498,0.00006712706,0.0000332799],"genre_scores_gemma":[0.9966158,0.0001037469,0.001100322,0.00009264103,0.00003425226,0.00009992727,0.001679749,0.00004586807,0.0002277252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7151027,"threshold_uncertainty_score":0.9998825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03869850870603246,"score_gpt":0.3222677149681805,"score_spread":0.283569206262148,"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."}}