{"id":"W2118392328","doi":"10.1177/1040638711416846","title":"Use of high-resolution melting curve analysis to identify <i>Mycoplasma</i> species commonly isolated from ruminant, avian, and canine samples","year":2011,"lang":"en","type":"article","venue":"Journal of Veterinary Diagnostic Investigation","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Melting curve analysis; High Resolution Melt; Biology; Molecular biology; Standard curve; Ribosomal RNA; Polymerase chain reaction; Real-time polymerase chain reaction; 16S ribosomal RNA; Gene; Genetics; Biochemistry","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":[0.0003552574,0.0001465409,0.0004080889,0.000548208,0.0001622335,0.00003845453,0.0001207648,0.0001283521,0.0003182536],"category_scores_gemma":[0.001102202,0.0001336928,0.0001219218,0.000496413,0.0002803405,0.0003581168,0.000108032,0.0002110865,0.00001873567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005552463,"about_ca_system_score_gemma":0.00007687161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005764941,"about_ca_topic_score_gemma":0.000307322,"domain_scores_codex":[0.9985144,0.000379712,0.000652058,0.0001739052,0.00007375881,0.0002062258],"domain_scores_gemma":[0.9979379,0.0009545161,0.0004834195,0.0001739046,0.0003539968,0.0000962768],"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":[0.0004665436,0.0001755182,0.2231844,0.00003100415,0.0009458293,0.00005470344,0.001191226,0.0001701028,0.771482,0.0002036121,0.001403403,0.0006916129],"study_design_scores_gemma":[0.0006375541,0.00134626,0.9371263,0.0002409889,0.000880114,0.0002172783,0.0002175124,0.00005945147,0.05820706,0.0003819568,0.0005052396,0.0001803314],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958251,0.0008204621,0.002489587,0.000143097,0.0002893076,0.0001448222,0.0002685587,0.00001145591,0.000007613497],"genre_scores_gemma":[0.9976379,0.0002925229,0.001771206,0.00005219172,0.00004012982,0.000004234557,0.0001601076,0.00001090527,0.00003084812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7139418,"threshold_uncertainty_score":0.8714904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09585049161510778,"score_gpt":0.2986278553218291,"score_spread":0.2027773637067213,"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."}}