{"id":"W2178736803","doi":"10.4141/cjps2013-297","title":"Detection of main-effect and epistatic QTL for yield-related traits in rice under drought stress and normal conditions","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epistasis; Quantitative trait locus; Oryza sativa; Biology; Panicle; Agronomy; Inbred strain; Cultivar; Drought stress; Drought tolerance; Locus (genetics); Horticulture; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002741788,0.00004525764,0.00008334279,0.0000574059,0.0001449741,0.0000500613,0.00008025186,0.00002606058,0.00004173097],"category_scores_gemma":[0.0001168662,0.00001984507,0.00001490583,0.0002311412,0.0001462303,0.0002561305,0.000004420789,0.00005910267,3.694172e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003002938,"about_ca_system_score_gemma":0.00005978192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003860494,"about_ca_topic_score_gemma":0.0279345,"domain_scores_codex":[0.9995065,0.00001672625,0.0001727637,0.00007664126,0.00008022886,0.0001471272],"domain_scores_gemma":[0.9994313,0.0001999685,0.0001053203,0.00001088628,0.00006590051,0.0001866321],"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":[0.000006132565,0.00001142378,0.005500498,0.00001891595,0.000004864678,0.000003579058,0.000309064,0.00002662496,0.9825169,0.0004010091,0.00007126966,0.01112967],"study_design_scores_gemma":[0.0002175896,0.0004029278,0.9825047,0.00007458043,0.000006077207,0.00005218581,0.0008988708,0.0004036895,0.01477902,0.0005140663,0.00008123045,0.00006511023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989021,0.00004680864,0.00003598415,0.0006420697,0.00006354207,0.0001697256,0.00008652071,0.000001030973,0.00005215596],"genre_scores_gemma":[0.9998237,0.000007759751,0.00003379733,0.00008839661,0.00001184689,0.000003686752,0.000002739379,2.461981e-7,0.00002780915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9770042,"threshold_uncertainty_score":0.9898031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382533611993107,"score_gpt":0.2070068093252114,"score_spread":0.1931814732052803,"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."}}