{"id":"W2040208958","doi":"10.1139/w10-054","title":"Rapid identification of <i>Listeria</i> species and screening for variants by melting curve and high-resolution melting curve analyses of the intergenic spacer region of the rRNA gene","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Listeria; Amplicon; High Resolution Melt; Melting curve analysis; Biology; Intergenic region; Listeria monocytogenes; Genetics; Microbiology; Polymerase chain reaction; Gene; Genome; Bacteria","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006779841,0.0000902334,0.0002127994,0.00009290838,0.0001297272,0.00001692504,0.0002314636,0.00012921,0.0000084799],"category_scores_gemma":[0.0004980859,0.00006393217,0.0001168276,0.000100764,0.0004062786,0.00001052738,0.00004052807,0.0001076331,7.393098e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009466412,"about_ca_system_score_gemma":0.0001436368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004044839,"about_ca_topic_score_gemma":0.002624062,"domain_scores_codex":[0.998892,0.000166082,0.0006291021,0.0001498717,0.00003856501,0.0001243617],"domain_scores_gemma":[0.9979512,0.00004342053,0.001275896,0.0002514377,0.0004233363,0.00005468509],"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":[0.00002477826,0.000007868002,0.003368571,0.00002757691,0.00008720186,7.487023e-8,0.0001251283,0.000008808488,0.9945402,0.000171546,0.001225482,0.0004127398],"study_design_scores_gemma":[0.0003066366,0.00005377184,0.02248701,0.00003980901,0.00007823398,0.00009245783,0.0001917369,0.00003654079,0.9726062,0.00002330642,0.004021571,0.00006269026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931304,0.001595773,0.003709505,0.0006294442,0.0005784482,0.0001488431,0.0001950264,6.562038e-7,0.00001194666],"genre_scores_gemma":[0.9990722,0.0001492851,0.0004684421,0.00004233097,0.00007076408,0.000001952599,0.00004514101,0.00000888728,0.0001409974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.021934,"threshold_uncertainty_score":0.2607078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305919765284492,"score_gpt":0.2631357364743763,"score_spread":0.2300765388215314,"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."}}