{"id":"W1744346524","doi":"10.1186/1471-2180-5-65","title":"Specific and sensitive detection of the conifer pathogen Gremmeniella abietina by nested PCR","year":2005,"lang":"en","type":"article","venue":"BMC Microbiology","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Forest Service; U.S. Forest Service; Sveriges Lantbruksuniversitet; Vetenskapsrådet; Svenska Forskningsrådet Formas; Forskningsrådet för Arbetsliv och Socialvetenskap","keywords":"Biology; Nested polymerase chain reaction; Pathogen; Parasitology; Ecology; Botany; Polymerase chain reaction; Zoology; Genetics; 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":[0.001424699,0.001337651,0.00059154,0.0006656817,0.0002273026,0.000579239,0.0007692677,0.0007841346,0.001238032],"category_scores_gemma":[0.001808885,0.001061133,0.0005558425,0.0002491057,0.0007325083,0.0005057279,0.0006467831,0.001023863,0.001562805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183702,"about_ca_system_score_gemma":0.0004839944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005461401,"about_ca_topic_score_gemma":0.001405261,"domain_scores_codex":[0.9972824,0.0005075971,0.0002135314,0.001105998,0.0006457617,0.0002447193],"domain_scores_gemma":[0.9985116,0.0005584034,0.0003581761,0.0001562986,0.0003387292,0.00007675561],"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":[0.00001514854,0.0000123413,0.0003417147,0.00007493661,0.000003099822,0.00002310792,0.00003871023,0.00003509249,0.9976739,0.00003947752,0.00002332023,0.001719139],"study_design_scores_gemma":[0.00001980593,0.0003438989,0.004190359,0.00006567238,0.00006023535,0.0008548052,0.00008486951,0.002799862,0.9860071,0.0001538479,0.005393233,0.00002634644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4393925,0.004440723,0.5458663,0.0002394063,0.0001922536,0.001354057,0.001601926,0.002099859,0.004812947],"genre_scores_gemma":[0.4426973,0.002098868,0.5461867,0.0002350477,0.00004905819,0.001062308,0.002585136,0.000216797,0.004868705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001424699,"threshold_uncertainty_score":0.007534623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00626464699573368,"score_gpt":0.1859697934661575,"score_spread":0.1797051464704238,"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."}}