{"id":"W4353080026","doi":"10.3389/fimmu.2023.1145072","title":"Development and validation of a flow cytometry antibody test for Lawsonia intracellularis","year":2023,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Veterinary medicine and infectious diseases","field":"Veterinary","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Division of Graduate Education; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Lawsonia intracellularis; Serology; Antibody; Flow cytometry; Coefficient of variation; Antigen; Immunology; Biology; Microbiology; Chemistry; Chromatography","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":[0.0002430984,0.0001123655,0.0002708638,0.0004811347,0.00006113465,0.000006776309,0.00009263879,0.000110563,0.00002250861],"category_scores_gemma":[0.0002598098,0.0001139382,0.00003325106,0.0003902053,0.0001049886,0.00008756961,0.00007228327,0.00008746492,0.00001135866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004703873,"about_ca_system_score_gemma":0.00005686926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001704028,"about_ca_topic_score_gemma":0.000001121035,"domain_scores_codex":[0.9991505,0.00004384606,0.0002998564,0.0002038642,0.00006627062,0.0002356709],"domain_scores_gemma":[0.9995819,0.0001161921,0.00008265109,0.000154119,0.00003920497,0.00002594397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001558545,0.0006373794,0.5141236,0.000666602,0.0004481422,0.0002884919,0.005094414,0.00002370757,0.3740883,0.0001254914,0.01273674,0.09020863],"study_design_scores_gemma":[0.008010748,0.008472973,0.7462085,0.0004077123,0.0001432121,0.0004752468,0.00619177,0.009091408,0.04056462,0.001528899,0.1779594,0.000945433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887509,0.001059679,0.00885585,0.00007632797,0.0007645916,0.0002797888,0.00002456415,0.00007418805,0.0001140509],"genre_scores_gemma":[0.9821395,0.0001963417,0.01717233,0.00002423739,0.00003883245,0.00008178708,0.0001995637,0.00001936982,0.0001279815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3335237,"threshold_uncertainty_score":0.4646264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042337661098295,"score_gpt":0.3120532754185347,"score_spread":0.2816298988075517,"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."}}