{"id":"W3005286427","doi":"10.5958/0974-0147.2019.00011.4","title":"Detection and identification of Streptococcus entericus sp. nov. from respiratory tract of diseased goats based on 16s rRNA sequencing","year":2019,"lang":"en","type":"article","venue":"Indian Journal of Comparative Microbiology Immunology and Infectious Diseases","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"16S ribosomal RNA; Identification (biology); Biology; Ribosomal RNA; Microbiology; Streptococcus; Bacteria; Genetics; Gene; Ecology","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":[0.0002740954,0.0002743241,0.0002681181,0.0007059143,0.0001902191,0.0002845123,0.0001133991,0.0003214044,0.0003138934],"category_scores_gemma":[0.0003813066,0.0001387649,0.0002456241,0.0002557269,0.000296871,0.0002235913,0.0001929361,0.0001562995,0.0001616256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007930054,"about_ca_system_score_gemma":0.0001577694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157428,"about_ca_topic_score_gemma":0.001439247,"domain_scores_codex":[0.9998087,0.00002745119,0.00002636078,0.00004859582,0.00005226857,0.00003657376],"domain_scores_gemma":[0.999805,0.00005588216,0.00005304746,0.00001181807,0.00004682435,0.00002737008],"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":[0.0001425654,0.00005328986,0.04045451,0.000164392,0.00001628846,0.0007935638,0.0005921837,0.00007781399,0.9542431,0.00003504476,0.00004324097,0.003384114],"study_design_scores_gemma":[0.00001345124,0.001783879,0.6005511,0.000110556,0.0001750089,0.006429906,0.002710326,0.001471058,0.3826991,0.0001437507,0.003871906,0.00004011699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969339,0.0007166247,0.001133715,0.00004564278,0.00002358653,0.00003312129,0.0003120108,0.00001246077,0.0007888625],"genre_scores_gemma":[0.9920909,0.0007963494,0.005465656,0.00005228659,0.0000260351,0.00003354182,0.000711416,0.000006734183,0.0008171023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001157428,"threshold_uncertainty_score":0.002301335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582146943204081,"score_gpt":0.2767937497638699,"score_spread":0.2609722803318291,"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."}}