{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003977376,0.0001160223,0.0001959271,0.00002384961,0.0001293601,0.00007623299,0.00008266714,0.00005587926,0.0001015335],"category_scores_gemma":[0.0002517725,0.00005984649,0.00007870496,0.0007254811,0.00005764516,0.0000694031,0.00005117147,0.00008433546,0.000001096764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241153,"about_ca_system_score_gemma":0.0002992475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01567024,"about_ca_topic_score_gemma":0.6385687,"domain_scores_codex":[0.9983224,0.0000668745,0.0003983878,0.0005008952,0.0004411822,0.0002702688],"domain_scores_gemma":[0.9992586,0.0001182614,0.000207173,0.0001594226,0.0001651,0.00009146643],"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":[0.000002826577,0.00005293529,0.1757062,0.0000129271,0.000003885148,0.001414721,0.00001542938,0.0008286242,0.8182594,0.000002543022,0.00004243349,0.003658037],"study_design_scores_gemma":[0.00008080894,0.0000237491,0.06825007,0.00008328744,0.00001350292,0.0001293243,0.0001083384,0.002652481,0.9236873,0.0002998619,0.004494443,0.0001768081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974887,0.000159703,0.00002364469,0.00007191027,0.001845349,0.0001193612,0.00001635192,0.00001162153,0.000263405],"genre_scores_gemma":[0.9996833,0.000001354962,0.00007830069,0.00004164594,0.00004184345,0.000007096176,0.00004442672,0.000001175935,0.0001008843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6228985,"threshold_uncertainty_score":0.9908845,"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."}}