{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002053836,0.0009884293,0.000658738,0.001691533,0.0004087581,0.0007883759,0.0007287074,0.0009742039,0.0008439719],"category_scores_gemma":[0.00315652,0.0005501652,0.000710262,0.0008716381,0.000585828,0.0006461269,0.0003365687,0.0008535905,0.0007963959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289858,"about_ca_system_score_gemma":0.0003031936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005488183,"about_ca_topic_score_gemma":0.0009678464,"domain_scores_codex":[0.9975801,0.0008385126,0.0002297126,0.0005701583,0.0006331846,0.0001483693],"domain_scores_gemma":[0.997477,0.001010291,0.0005563999,0.0002574405,0.0006094337,0.00008953705],"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":[0.0001270021,0.00007052169,0.005557172,0.0001409648,0.00002596791,0.00004903185,0.0001208346,0.0001939688,0.9817794,0.0001104946,0.00007054139,0.01175408],"study_design_scores_gemma":[0.00001502914,0.0007942569,0.02220647,0.00005510203,0.00009115876,0.001294163,0.0001502394,0.007312155,0.9648995,0.0002454426,0.002887175,0.00004922507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5763477,0.003465962,0.4115144,0.0002996239,0.0001615145,0.0004919268,0.001219523,0.001390946,0.005108366],"genre_scores_gemma":[0.5599898,0.00151804,0.4346517,0.000167032,0.0000314817,0.0005123826,0.001154736,0.000139024,0.001835924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002053836,"threshold_uncertainty_score":0.01086187,"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."}}