{"id":"W3174981088","doi":"10.1270/jsbbs.20141","title":"Identification of quantitative trait loci for powdery mildew resistance in highly resistant cucumber (&lt;i&gt;Cucumis sativus&lt;/i&gt; L.) using ddRAD-seq analysis","year":2021,"lang":"en","type":"article","venue":"Breeding Science","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Powdery mildew; Cucumis; Biology; Quantitative trait locus; Botany; Trait; Horticulture; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001846143,0.0001919401,0.0003498538,0.0003951415,0.0002852714,0.00009679385,0.000618117,0.0001196959,0.00001001833],"category_scores_gemma":[0.001745643,0.0002084094,0.0001670987,0.003223785,0.0009880416,0.00006735719,0.0001991627,0.0001070586,0.000001317588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910912,"about_ca_system_score_gemma":0.0006231398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003121606,"about_ca_topic_score_gemma":0.001568091,"domain_scores_codex":[0.9969673,0.0001067401,0.0006506236,0.0009725743,0.0007440973,0.000558669],"domain_scores_gemma":[0.9978254,0.000161707,0.0003474946,0.0006067854,0.0009449308,0.0001137057],"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":[0.0001287424,0.00006664224,0.001165288,0.00008143389,0.00007598494,0.000006166342,0.0002995465,0.001133509,0.9898305,0.006926071,0.0001290708,0.000157031],"study_design_scores_gemma":[0.0007599366,0.0001900742,0.01418767,0.0001465447,0.0001528934,0.00000662799,0.0005104038,0.01182836,0.9662136,0.002207613,0.003319444,0.0004768839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466398,0.003722479,0.0479712,0.000217126,0.0001336631,0.0003057379,0.0001251521,0.00001122703,0.0008735962],"genre_scores_gemma":[0.9672105,0.0001657271,0.03152002,0.00002486642,0.00005820971,0.00002804413,0.00003988296,0.00002158965,0.000931125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02361696,"threshold_uncertainty_score":0.8498689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03881007929334639,"score_gpt":0.3544129858985116,"score_spread":0.3156029066051652,"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."}}