{"id":"W2028076237","doi":"10.1094/pdis.2002.86.2.131","title":"Volatile Fingerprinting (SPME-GC-FID) to Detect and Discriminate Diseases of Potato Tubers","year":2002,"lang":"en","type":"article","venue":"Plant Disease","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Erwinia; Pythium ultimum; Biology; Inoculation; Phytophthora infestans; Gas chromatography; Fusarium; Bacteria; Horticulture; Botany; Chromatography; Chemistry; Biological pest control; Blight","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002346004,0.0004800446,0.0002499626,0.0006592115,0.0001565401,0.0001520536,0.0001639308,0.0003061117,0.0008143364],"category_scores_gemma":[0.0002789097,0.0002042429,0.0002661014,0.000440872,0.0001035727,0.0001425401,0.0002320253,0.0003246388,0.0002576117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278139,"about_ca_system_score_gemma":0.0001571831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071763,"about_ca_topic_score_gemma":0.00225069,"domain_scores_codex":[0.9998349,0.00002172285,0.0000108281,0.00005915356,0.00004814722,0.00002519564],"domain_scores_gemma":[0.9998484,0.00004559844,0.00002402081,0.000012406,0.00004723552,0.00002231712],"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":[0.0001048935,0.00002000501,0.001167319,0.00005212489,0.00001278829,0.00002596214,0.00001587895,0.00009034633,0.9924148,0.000009053474,0.00002859959,0.006058244],"study_design_scores_gemma":[0.00002329359,0.001340714,0.07126176,0.00001592632,0.00006207715,0.0006903342,0.00009912335,0.003916545,0.9200889,0.0000627449,0.002414864,0.0000237556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607513,0.002036656,0.0330564,0.00006497538,0.00004822931,0.0001504523,0.002286299,0.0003651268,0.00124048],"genre_scores_gemma":[0.9276384,0.001404178,0.06471714,0.0001763981,0.00002128219,0.0002652544,0.00250545,0.00007223145,0.003199677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001071763,"threshold_uncertainty_score":0.00272429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108540824185373,"score_gpt":0.2091817232393146,"score_spread":0.1983276408207773,"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."}}