{"id":"W2160173853","doi":"10.1007/s12600-008-0003-6","title":"Genetic diversity and differentiation of Sclerotinia sclerotiorum populations in sunflower","year":2008,"lang":"en","type":"article","venue":"Phytoparasitica","topic":"Sunflower and Safflower Cultivation","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sclerotinia sclerotiorum; Biology; Sunflower; Genetic diversity; Diversity (politics); Sclerotinia; Agronomy; Botany; Ecology; Population; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053417,0.00007537621,0.000120978,0.00002038886,0.0003062243,0.000005592701,0.00007214216,0.00004361917,0.0001051137],"category_scores_gemma":[0.00002451759,0.00003786001,0.00003480177,0.0001999313,0.00006002312,0.0001070632,0.00009986249,0.00005300831,0.000004567349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001200772,"about_ca_system_score_gemma":0.000002438512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002634642,"about_ca_topic_score_gemma":0.0003693382,"domain_scores_codex":[0.9993549,0.00003296793,0.0001690553,0.0001624552,0.0001385165,0.0001420953],"domain_scores_gemma":[0.9997847,0.00004447043,0.00004246231,0.00003842619,0.00004429581,0.00004562241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001178181,0.00007972664,0.975895,0.000002658822,0.000002242366,0.00000148105,0.0002750295,0.000008247841,0.02197373,0.0001592339,0.00001517669,0.001575664],"study_design_scores_gemma":[0.0001595245,0.00004524101,0.998069,0.00001278853,0.00000543058,0.000003567561,0.0000378886,0.0002167771,0.0008681775,0.000486389,0.00001570399,0.00007952564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992943,0.0000383893,0.00003611165,0.0001638565,0.00007325264,0.0001347327,0.000008497531,0.00002040447,0.00023043],"genre_scores_gemma":[0.999662,0.00002261352,0.0001945068,0.00003985684,0.00004392927,0.000004943107,0.00001368735,5.84449e-7,0.00001789078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02217396,"threshold_uncertainty_score":0.2355261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06979644290759826,"score_gpt":0.2439544176406304,"score_spread":0.1741579747330321,"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."}}