{"id":"W1887904159","doi":"10.1007/s11032-015-0322-5","title":"Variation in primary metabolites in parental and near-isogenic lines of the QTL qDTY 12.1 : altered roots and flag leaves but similar spikelets of rice under drought","year":2015,"lang":"en","type":"article","venue":"Molecular Breeding","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung; Institute of Genetics; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Leibniz-Gemeinschaft; Deutsche Gesellschaft für Internationale Zusammenarbeit; Bill and Melinda Gates Foundation","keywords":"Biology; Quantitative trait locus; Primary metabolite; Drought tolerance; Polygene; Genetic variation; Gene; Plant physiology; Metabolomics; Agronomy; Horticulture; Botany; Genetics; Metabolite; Bioinformatics","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":[0.0002241299,0.00007881093,0.0001396822,0.000015311,0.00003058154,0.00002303849,0.00008168529,0.00004676992,0.000003776375],"category_scores_gemma":[0.00007803465,0.00003346108,0.00002897085,0.0001962712,0.00004408198,0.00009313131,0.00009307361,0.0000571923,1.328112e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001732829,"about_ca_system_score_gemma":0.00001004639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004757465,"about_ca_topic_score_gemma":0.0001258574,"domain_scores_codex":[0.9993183,0.00005776491,0.0002172269,0.000149872,0.0001503289,0.0001064918],"domain_scores_gemma":[0.999745,0.00004484663,0.0001035186,0.00003545213,0.00003891114,0.00003228788],"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":[0.00001212381,0.00003909992,0.04964401,0.00001470792,0.000006189287,4.590723e-7,0.0002548925,0.00003344991,0.9479283,0.00008894648,0.000005313264,0.001972503],"study_design_scores_gemma":[0.0003170976,0.00006521561,0.9348717,0.00002982716,0.000008353742,0.000001553638,0.0004280605,0.0004284223,0.06335616,0.0003733374,0.00005345438,0.00006686555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983512,0.000518956,0.00002552337,0.0007680045,0.00004933324,0.0001654396,0.000005364117,0.000004546464,0.0001116742],"genre_scores_gemma":[0.9995297,0.00002778127,0.0002086668,0.0001809472,0.00002418518,0.000004457543,0.000005643426,8.512949e-7,0.00001775671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8852276,"threshold_uncertainty_score":0.1364503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720210247861182,"score_gpt":0.2217097813780484,"score_spread":0.1945076788994366,"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."}}