{"id":"W4392252592","doi":"10.1270/jsbbs.23048","title":"DNAMarkMaker: streamlining ARMS and CAPS marker development from resequencing data with NGS short reads","year":2024,"lang":"en","type":"article","venue":"Breeding Science","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Research Organization of Information and Systems","keywords":"Biology; Computational biology; Genetics","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":[0.0006848761,0.0001303979,0.0000976868,0.00005329599,0.0002299383,0.0001962161,0.0004545704,0.00004096455,0.000003097686],"category_scores_gemma":[0.00007524579,0.000102091,0.00001032459,0.0001806258,0.0003328299,0.000007046558,0.0009735133,0.00007172014,0.000001869821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002518307,"about_ca_system_score_gemma":0.0003261776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009314443,"about_ca_topic_score_gemma":0.0001140169,"domain_scores_codex":[0.9985851,0.000007871617,0.0001438222,0.000747089,0.0002373332,0.0002787506],"domain_scores_gemma":[0.9994323,0.00002422419,0.00002113001,0.0003772053,0.00005569252,0.00008944055],"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":[0.00001621637,0.000005530687,0.03150919,0.00001412435,0.00004963929,0.00001244401,0.0005109443,0.00001388912,0.922425,0.00003937595,0.0003613796,0.04504221],"study_design_scores_gemma":[0.0006034985,0.0006129384,0.5627971,0.0008336439,0.0001411011,0.0002465293,0.003746732,0.008665749,0.3368136,0.0004441007,0.08347413,0.001620857],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946269,0.002742352,0.0005658643,0.0001400365,0.0001807371,0.00007593726,0.0000325681,0.000009365413,0.001626224],"genre_scores_gemma":[0.9822896,0.000219811,0.0171184,0.0000587241,0.0001492782,0.000006346682,0.00003515425,0.0000129774,0.000109696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5856115,"threshold_uncertainty_score":0.4163149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03953277523082093,"score_gpt":0.2798025101435392,"score_spread":0.2402697349127183,"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."}}