{"id":"W2107562418","doi":"10.3852/mycologia.98.4.593","title":"An optimized method for mycelial compatibility testing in Sclerotinia sclerotiorum","year":2006,"lang":"en","type":"article","venue":"Mycologia","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Agriculture","keywords":"Sclerotinia sclerotiorum; Mycelium; Biology; Compatibility (geochemistry); Genotyping; Population; Hypha; Germplasm; Biotechnology; Horticulture; Botany; Food science; Genetics; Genotype","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":[0.0009583463,0.0001457328,0.000269112,0.00001620784,0.0002119608,0.00005553017,0.0002353392,0.0001412195,0.0001177014],"category_scores_gemma":[0.0001051153,0.00005826116,0.00006936246,0.0003158204,0.00003007301,0.00007780118,0.00003249084,0.00009884329,0.000007704383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003660624,"about_ca_system_score_gemma":0.000009905917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006062815,"about_ca_topic_score_gemma":0.003388389,"domain_scores_codex":[0.9986208,0.0001490608,0.0003079507,0.0004054519,0.0001172681,0.0003994443],"domain_scores_gemma":[0.9991927,0.0005022796,0.0001061663,0.00006686559,0.00007500661,0.00005699364],"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":[0.0001007489,0.0001989797,0.01614657,0.000005474476,0.00000167616,0.000004476854,0.000005379046,0.0008188299,0.9728721,0.0003278096,0.000212377,0.009305554],"study_design_scores_gemma":[0.0006890387,0.0005690135,0.958887,0.00002366285,0.000009000245,0.000004595111,0.0000897799,0.02139907,0.01475716,0.002723323,0.0005834826,0.0002648148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958991,0.00001988541,0.002319357,0.0001579214,0.0001406709,0.0006494492,0.0001898585,0.0001135655,0.0005101938],"genre_scores_gemma":[0.8780286,0.000001101667,0.1213913,0.0001180914,0.0001967029,0.00007924148,0.0001264514,0.000001132181,0.0000573905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.958115,"threshold_uncertainty_score":0.2375821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720371324003924,"score_gpt":0.2616898386584972,"score_spread":0.224486125418458,"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."}}