{"id":"W4224248856","doi":"10.1080/07060661.2022.2067900","title":"Genetic and pathogenic variation of <i>Botrytis cinerea</i> , the causal agent of grey mould on <i>Panax ginseng</i> in China","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Plant Pathology","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Botrytis cinerea; Biology; Ginseng; Genetic variation; Genetic diversity; Pathogenicity; Mycelium; Botany; Pathogen; Genetic variability; Population; Genotype; Gene; Microbiology; Genetics; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003852777,0.0003930643,0.0004002939,0.001417758,0.000449433,0.0003024372,0.0002315846,0.0002446528,0.0003728842],"category_scores_gemma":[0.0003605715,0.000228432,0.0004750259,0.0009369659,0.0003173287,0.0001630702,0.0003203954,0.0002859276,0.0000679832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006008221,"about_ca_system_score_gemma":0.0003707962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01254206,"about_ca_topic_score_gemma":0.01759077,"domain_scores_codex":[0.9995833,0.00006407638,0.00004654712,0.000147669,0.00008787577,0.00007058816],"domain_scores_gemma":[0.9996221,0.00006231811,0.0001100646,0.0000359926,0.00006630876,0.0001032489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003403179,0.0001634128,0.4025228,0.00007910685,0.0003125992,0.0007334544,0.001333831,0.0005097067,0.5820583,0.000135874,0.0001167018,0.01169394],"study_design_scores_gemma":[0.000005404489,0.00005452108,0.9972001,0.000002646901,0.0000223505,0.0001625239,0.0001258818,0.0003163515,0.001917336,0.00001339196,0.0001722601,0.000007316207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996704,0.00003676529,0.00009882121,0.000005948943,0.000001285862,0.000006937485,0.00006238957,0.000002199686,0.0001152159],"genre_scores_gemma":[0.9993452,0.0000450355,0.0001710145,0.00001185032,0.000001792266,0.000007306175,0.0002694433,0.000002197506,0.0001462253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254206,"threshold_uncertainty_score":0.02493811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007197786607868673,"score_gpt":0.188703084156015,"score_spread":0.1815052975481463,"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."}}