{"id":"W3214039562","doi":"10.1038/s41598-021-01439-4","title":"Detection of blueberry stunt phytoplasma in Eastern Canada using cpn60-based molecular diagnostic assays","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Phytoplasmas and Hemiptera pathogens","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Phytoplasma; Biology; Pathogen; Vaccinium; 16S ribosomal RNA; Biotechnology; Polymerase chain reaction; Horticulture; Microbiology; Bacteria; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003579,0.0004713776,0.0002817911,0.00142004,0.001627236,0.0009082793,0.0005282986,0.0003653012,0.001120584],"category_scores_gemma":[0.0005733378,0.0002193599,0.0002354396,0.001331869,0.0005473332,0.0002049016,0.0004585012,0.000315885,0.0002409937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01141605,"about_ca_system_score_gemma":0.0104769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9742835,"about_ca_topic_score_gemma":0.9904469,"domain_scores_codex":[0.9992949,0.00002907503,0.00002414396,0.0001613936,0.0003253532,0.000165163],"domain_scores_gemma":[0.9989725,0.0000502854,0.0001208789,0.00002035729,0.0007268659,0.0001090312],"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":[0.0003247694,0.000136436,0.4421206,0.0005160948,0.00009588969,0.0007104288,0.002098609,0.001953361,0.5008195,0.0003535906,0.002891205,0.04797957],"study_design_scores_gemma":[0.00001777365,0.0001525128,0.9353778,0.00009873538,0.00005551821,0.00029419,0.002289534,0.003673,0.04232934,0.00005878046,0.01558119,0.00007159339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783871,0.001631146,0.00425576,0.0002927064,0.00003181153,0.0002863232,0.006784166,0.0002686066,0.008062392],"genre_scores_gemma":[0.9756453,0.001210847,0.01173326,0.0003883014,0.000005549627,0.0001102504,0.004028082,0.00004002924,0.006838323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02571654,"threshold_uncertainty_score":0.08282959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554204139283859,"score_gpt":0.2075590226912246,"score_spread":0.192016981298386,"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."}}