{"id":"W7081999959","doi":"10.1002/csc2.70158","title":"Evaluating the potential penalty of sclerotinia stem rot resistance on agronomic and seed quality traits in a Canadian soybean germplasm panel","year":2025,"lang":"en","type":"article","venue":"Crop Science","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agriculture and Agri-Food Canada; Grain Farmers of Ontario","keywords":"Sclerotinia; Germplasm; Resistance (ecology); Allele; Plant disease resistance; Sclerotinia sclerotiorum; Association mapping; Stem rot","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001200239,0.0005222408,0.0003844445,0.001622275,0.001330349,0.0005428846,0.0005796264,0.0002887576,0.001773253],"category_scores_gemma":[0.0008842626,0.0001634602,0.0004729502,0.002050612,0.0003278714,0.0001512319,0.0005346067,0.00037899,0.0002471947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003272146,"about_ca_system_score_gemma":0.002958661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5951687,"about_ca_topic_score_gemma":0.8099341,"domain_scores_codex":[0.9994255,0.00009364159,0.00002340682,0.0001634293,0.0001892186,0.0001048492],"domain_scores_gemma":[0.999248,0.0001114562,0.0001050329,0.00006775927,0.0003005998,0.0001670369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001514834,0.0002749937,0.5549433,0.000131798,0.0005363427,0.0007207114,0.0008594001,0.002822235,0.4048264,0.0005412312,0.001481286,0.03134754],"study_design_scores_gemma":[0.00003880568,0.0002189693,0.9861847,0.000008873865,0.0001721233,0.0001491334,0.0002960494,0.001755833,0.008180249,0.00006527488,0.002906534,0.00002362718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943773,0.0001475858,0.001403748,0.00007049058,0.000005349148,0.00004193526,0.002652947,0.00003372522,0.001266937],"genre_scores_gemma":[0.987501,0.0001696245,0.005041086,0.00007922165,0.000003433727,0.00003659113,0.005395167,0.00002854502,0.001745306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4048313,"threshold_uncertainty_score":0.8144308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0647944187323442,"score_gpt":0.3173234737695015,"score_spread":0.2525290550371573,"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."}}