{"id":"W4406874085","doi":"10.3390/microorganisms13020280","title":"The Challenge of Developing a Test to Differentiate Actinobacillus pleuropneumoniae Serotypes 9 and 11","year":2025,"lang":"en","type":"article","venue":"Microorganisms","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Hungarian Scientific Research Fund","keywords":"Serotype; Biology; Actinobacillus pleuropneumoniae; Virology; Serology; Pathogen; Genetics; Microbiology; Antibody","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01134531,0.001619871,0.002126073,0.001413709,0.0004097961,0.002337963,0.002068626,0.003254802,0.001071574],"category_scores_gemma":[0.01377094,0.0007901113,0.000867413,0.0007714108,0.001249939,0.001523126,0.001283241,0.002401152,0.001603193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006585458,"about_ca_system_score_gemma":0.001767835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721906,"about_ca_topic_score_gemma":0.002022177,"domain_scores_codex":[0.9906343,0.0036952,0.0007483467,0.001622023,0.002893426,0.0004067765],"domain_scores_gemma":[0.9882542,0.004986567,0.001460573,0.0009721021,0.003908115,0.0004184573],"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":[0.0007750203,0.0009352093,0.1500728,0.003315232,0.0003239244,0.0004533902,0.0004497958,0.004649034,0.5811357,0.002762102,0.00520077,0.2499271],"study_design_scores_gemma":[0.0001795964,0.009912097,0.1494513,0.003234742,0.001084457,0.007947669,0.004036842,0.07249765,0.6144307,0.01362416,0.1232075,0.0003932924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4438055,0.03922136,0.4781005,0.01374727,0.002626914,0.002085265,0.006094932,0.002686147,0.01163205],"genre_scores_gemma":[0.5472229,0.01212252,0.4233026,0.005639326,0.0006676572,0.001395229,0.004699157,0.0001415256,0.004809185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01134531,"threshold_uncertainty_score":0.06000048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118413187466617,"score_gpt":0.2609309265205069,"score_spread":0.2497467946458407,"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."}}