{"id":"W4413049276","doi":"10.1016/j.psj.2025.105665","title":"New molecular diagnostic targets for Avibacterium paragallinarum and a set of single-plex and multiplex qPCR methods for the rapid differential diagnosis of Mycoplasma gallisepticum, Mycoplasma synoviae, and Avibacterium paragallinarum","year":2025,"lang":"en","type":"article","venue":"Poultry Science","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Mycoplasma synoviae; Biology; Microbiology; Multiplex; Mycoplasma gallisepticum; Virology; Multiplex polymerase chain reaction; Mycoplasma; Polymerase chain reaction; Gene; Genetics","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":[0.002196886,0.001489708,0.001267298,0.001783271,0.0004608138,0.001363091,0.0008721157,0.001585602,0.000851199],"category_scores_gemma":[0.001231914,0.0007838772,0.001287435,0.0007518493,0.0007379488,0.0006952159,0.0008773947,0.001478553,0.0008515388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000618946,"about_ca_system_score_gemma":0.0005811655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003872935,"about_ca_topic_score_gemma":0.0008837559,"domain_scores_codex":[0.9967588,0.0004326911,0.0001692283,0.001023845,0.001339035,0.0002764716],"domain_scores_gemma":[0.9990108,0.0002465838,0.0002439291,0.00008674929,0.0003193132,0.00009267205],"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":[0.00009580614,0.00007540528,0.001495683,0.0001732044,0.00002687771,0.00003502767,0.00003945997,0.000617713,0.9909419,0.000159391,0.0001685199,0.006170897],"study_design_scores_gemma":[0.00001825295,0.0003453838,0.004854857,0.00002987003,0.00008934773,0.0002020133,0.00007264487,0.01559649,0.9750783,0.000246873,0.003414817,0.00005118932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6333531,0.007402016,0.3466972,0.0008170703,0.0006889132,0.0007959116,0.004256224,0.002545931,0.003443671],"genre_scores_gemma":[0.6927132,0.001916457,0.2933291,0.0006849784,0.0001563789,0.001362385,0.004211872,0.0001513074,0.005474304],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002196886,"threshold_uncertainty_score":0.01161844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227419330318502,"score_gpt":0.3321576238097482,"score_spread":0.3098834305065632,"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."}}