{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001748297,0.0004489789,0.0003591955,0.0004889512,0.0002413644,0.0002384028,0.0002713765,0.0002454783,0.001737535],"category_scores_gemma":[0.0001318496,0.0001855818,0.0004174953,0.0003724715,0.0002180075,0.0001293795,0.000216781,0.0004096264,0.0004602853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004794343,"about_ca_system_score_gemma":0.0002166209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00411933,"about_ca_topic_score_gemma":0.0103823,"domain_scores_codex":[0.9998562,0.000006978246,0.00000822316,0.00006840479,0.00003768424,0.00002242503],"domain_scores_gemma":[0.9999062,0.00001753841,0.00003246789,0.000007117897,0.00001357953,0.00002314194],"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":[0.00003943242,0.00000969671,0.0008325847,0.0000468443,0.000007779749,0.00004929546,0.00004266548,0.00005317204,0.9972403,0.00004692375,0.000076663,0.00155469],"study_design_scores_gemma":[0.0001536315,0.0003292301,0.4821818,0.00004281688,0.0002262752,0.001064779,0.0002433049,0.01080851,0.4851502,0.000234816,0.01947881,0.00008591429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679377,0.0008027044,0.01813849,0.0001258547,0.00005409362,0.0001167651,0.01049139,0.0004131527,0.00191985],"genre_scores_gemma":[0.9570134,0.0004385702,0.02095905,0.0002356634,0.00002077121,0.0001752679,0.01377939,0.0002662183,0.007111698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00411933,"threshold_uncertainty_score":0.008190691,"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."}}