{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007074214,0.002645659,0.001643629,0.003648028,0.001100637,0.00354446,0.002932949,0.001688576,0.01245554],"category_scores_gemma":[0.01648634,0.001951975,0.001422804,0.002105503,0.0008215839,0.00296857,0.002633344,0.004156976,0.01315335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007209404,"about_ca_system_score_gemma":0.001785784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109587,"about_ca_topic_score_gemma":0.002715444,"domain_scores_codex":[0.996336,0.0006945148,0.0003532435,0.001610716,0.0008358567,0.0001697574],"domain_scores_gemma":[0.9940188,0.003423383,0.0007680913,0.0007981632,0.0006725203,0.0003191409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002082686,0.0003794178,0.005430739,0.003427421,0.0009671562,0.001139107,0.002104487,0.00559265,0.2612687,0.007080395,0.09147545,0.6190518],"study_design_scores_gemma":[0.000467284,0.0004767617,0.01019405,0.0005509696,0.0003137753,0.00147634,0.0005552443,0.1626863,0.5069228,0.02011409,0.2955484,0.0006938829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009481945,0.000487772,0.8432919,0.0002993578,0.0003797794,0.0006991228,0.008811638,0.1340835,0.002465087],"genre_scores_gemma":[0.01413558,0.0002119853,0.9597881,0.0003585479,0.00006736036,0.00114168,0.009354179,0.0118108,0.003131767],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01245554,"threshold_uncertainty_score":0.041668,"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."}}