{"id":"W2892164956","doi":"10.21833/ijaas.2018.10.010","title":"Correlation and genetic component studies for peduncle length affecting grain yield in wheat","year":2018,"lang":"en","type":"article","venue":"International Journal of ADVANCED AND APPLIED SCIENCES","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Peduncle (anatomy); Biology; Hybrid; Yield (engineering); Quantitative trait locus; Genetic variation; Selection (genetic algorithm); Agronomy; Grain yield; Horticulture; Gene; 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":[0.0002457971,0.00005559978,0.0001067718,0.00002889993,0.0001319391,0.00003759672,0.000103485,0.00002256106,0.000005002842],"category_scores_gemma":[0.00004971561,0.00002336255,0.00001950777,0.00006726413,0.0001924033,0.00006557578,0.00003371633,0.00004418219,2.706014e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000074876,"about_ca_system_score_gemma":0.000005743999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003675839,"about_ca_topic_score_gemma":0.000131413,"domain_scores_codex":[0.9994734,0.0000116465,0.0001757709,0.0001159624,0.0001276669,0.00009554654],"domain_scores_gemma":[0.9995058,0.0002521392,0.0001050001,0.000008487668,0.00009974228,0.00002878472],"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":[0.000106719,0.00003548417,0.007722562,0.000003895426,0.00001332691,0.000003211792,0.0007110009,0.0002567934,0.704717,0.001006527,0.00005350978,0.28537],"study_design_scores_gemma":[0.002652872,0.005906302,0.8203602,0.0004396225,0.00004398041,0.0004870617,0.0193947,0.003417923,0.07229277,0.06846488,0.005883716,0.0006559208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972346,0.0009032544,0.0001258077,0.001105366,0.0003938783,0.00007342923,0.000003063431,0.000002435416,0.0001581751],"genre_scores_gemma":[0.9970307,0.0004084783,0.002096405,0.0001135271,0.0003358171,0.000002331755,7.224482e-7,3.515525e-7,0.00001167494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8126377,"threshold_uncertainty_score":0.1014782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03742393482642816,"score_gpt":0.2975101138633846,"score_spread":0.2600861790369564,"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."}}