{"id":"W2262037412","doi":"10.1139/gen-2015-0115","title":"Development of a high-resolution melting marker for selecting Fusarium crown and root rot resistance in tomato","year":2015,"lang":"en","type":"article","venue":"Genome","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea Forest Service; U.S. Forest Service; Gangneung-Wonju National University; Rural Development Administration; Ministry of Agriculture, Food and Rural Affairs; Ministry of Oceans and Fisheries","keywords":"Biology; Locus (genetics); Population; Genetics; Genetic marker; Restriction fragment length polymorphism; Marker-assisted selection; Molecular marker; High Resolution Melt; Polymerase chain reaction; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003432298,0.000396692,0.0004845137,0.0007433252,0.0002474321,0.0002814112,0.0005847435,0.000572261,0.001073805],"category_scores_gemma":[0.0003827147,0.0003757302,0.0003950071,0.0003220488,0.0001382421,0.0002399235,0.0003166421,0.0005356779,0.0007733554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003511961,"about_ca_system_score_gemma":0.0002554695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008242618,"about_ca_topic_score_gemma":0.001543727,"domain_scores_codex":[0.9996558,0.00004986297,0.00002799685,0.0001383405,0.00009017374,0.00003776431],"domain_scores_gemma":[0.9998251,0.00003644848,0.00005783739,0.00002051362,0.00003066271,0.00002956841],"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":[0.00002420011,0.00001519894,0.0003406488,0.00002209139,0.000004205413,0.00002680776,0.00001531719,0.00006840543,0.9970747,0.00002070639,0.00002069714,0.002367],"study_design_scores_gemma":[0.0000633384,0.000377868,0.02836515,0.00003175565,0.00008927692,0.0007682418,0.00006894787,0.006776762,0.9561791,0.00007828659,0.007161381,0.0000398638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9183038,0.001328445,0.07302599,0.0001716745,0.0000374849,0.0004826752,0.002974326,0.0008918483,0.002783736],"genre_scores_gemma":[0.8507268,0.0007674231,0.1354298,0.0001270619,0.0000159274,0.0003560065,0.008077819,0.0002556295,0.004243446],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001073805,"threshold_uncertainty_score":0.003592253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559895489391498,"score_gpt":0.2307998552436313,"score_spread":0.2152009003497163,"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."}}