{"id":"W2590987380","doi":"10.17660/actahortic.2008.793.79","title":"DIRECT REAL-TIME PCR: TOWARDS RAPID AND COST EFFECTIVE APPLICATION IN FIRE BLIGHT DIAGNOSIS","year":2008,"lang":"en","type":"article","venue":"Acta Horticulturae","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Michigan State University","keywords":"Fire blight; Blight; Real-time polymerase chain reaction; Computer science; Computational biology; Biology; Genetics; Botany; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004457513,0.002067728,0.002621911,0.002490416,0.0007297178,0.00240249,0.002458727,0.00310376,0.005607303],"category_scores_gemma":[0.003799659,0.002288419,0.001128558,0.001264126,0.001978208,0.002289514,0.001410267,0.004219625,0.008070561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007642145,"about_ca_system_score_gemma":0.001184757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008411606,"about_ca_topic_score_gemma":0.002335297,"domain_scores_codex":[0.9955928,0.001263017,0.0001839089,0.001491439,0.001163607,0.0003052417],"domain_scores_gemma":[0.9968226,0.001756066,0.0002556359,0.000302724,0.00058777,0.0002752517],"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":[0.0003471089,0.0001747502,0.001187501,0.0003896352,0.00002300562,0.00008111187,0.000113591,0.0002106383,0.9385645,0.0006201405,0.001378897,0.05690914],"study_design_scores_gemma":[0.0001766441,0.00135583,0.005200843,0.0001120292,0.0002114768,0.001633146,0.0001679256,0.01467937,0.9417562,0.002116518,0.03247386,0.0001161377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04925129,0.01450138,0.9215026,0.001449867,0.001108119,0.0011727,0.002106806,0.004240834,0.004666397],"genre_scores_gemma":[0.07534894,0.006831205,0.8990685,0.001045574,0.0003288288,0.001128135,0.002508657,0.0003584587,0.01338178],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005607303,"threshold_uncertainty_score":0.02357388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00609694778559063,"score_gpt":0.2428886816114261,"score_spread":0.2367917338258355,"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."}}