{"id":"W2053744057","doi":"10.1139/w00-054","title":"Evaluation of polyclonal-antibody-based immunoassays for detection of <i>Sclerotinia sclerotiorum</i> on canola petals, and prediction of stem rot","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sclerotinia sclerotiorum; Petal; Polyclonal antibodies; Canola; Sclerotinia; Biology; Stem rot; Horticulture; Botany; Antibody; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001661708,0.000839882,0.0003635798,0.0005405237,0.0001390151,0.0004526307,0.0005204059,0.0005518266,0.0003674629],"category_scores_gemma":[0.002269651,0.0002818875,0.00025615,0.000356816,0.0002110303,0.0001997188,0.0001659541,0.0003963739,0.000218943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003826582,"about_ca_system_score_gemma":0.0002310498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560197,"about_ca_topic_score_gemma":0.003011184,"domain_scores_codex":[0.9987898,0.0004837642,0.00007533524,0.0002135253,0.0003590974,0.0000783719],"domain_scores_gemma":[0.9984331,0.0006918149,0.0003012853,0.00006783365,0.0004213449,0.00008464786],"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":[0.0002215584,0.0001598531,0.00932909,0.0001411879,0.00004432581,0.00003568557,0.00002698717,0.001602259,0.9802127,0.00005056429,0.00006217421,0.008113733],"study_design_scores_gemma":[0.00004057571,0.002079488,0.03988334,0.00001960792,0.0001786951,0.0005113906,0.0000715864,0.03711634,0.9189143,0.00009183543,0.001061137,0.00003186096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366764,0.001899985,0.05917022,0.000120363,0.00003699188,0.0001536193,0.000307483,0.0003550315,0.001279972],"genre_scores_gemma":[0.9541028,0.0007139042,0.04400279,0.0000752845,0.00001541058,0.00007185588,0.0004440276,0.00001390418,0.0005600394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001661708,"threshold_uncertainty_score":0.008788049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482799205280931,"score_gpt":0.2069531488583944,"score_spread":0.1821251568055851,"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."}}