{"id":"W7096425978","doi":"","title":"Associations of Local Wheat Varieties (Triticum Spp.) Grown in","year":2016,"lang":"en","type":"article","venue":"","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heritability; Randomized block design; Crop; Grain yield; Yield (engineering); Genetic variability; Crop yield","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001713345,0.0002078843,0.0002293776,0.0005602775,0.0003247756,0.0002603145,0.0001127769,0.0001441681,0.001234288],"category_scores_gemma":[0.0002144955,0.0001176454,0.0001633865,0.000707786,0.0001689855,0.0001247067,0.000222129,0.0001733168,0.0002302967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097185,"about_ca_system_score_gemma":0.0001039665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375798,"about_ca_topic_score_gemma":0.00851018,"domain_scores_codex":[0.999826,0.00003082262,0.00002088909,0.00007302739,0.00002404929,0.00002520748],"domain_scores_gemma":[0.9997991,0.00003473714,0.00007059773,0.00001992304,0.0000296794,0.00004606658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006938802,0.0004693565,0.8071964,0.0001076763,0.0001606634,0.001338392,0.001795076,0.0001780062,0.1765442,0.0001396033,0.0002396472,0.01113708],"study_design_scores_gemma":[0.000004328336,0.0002739743,0.9971938,0.000003115052,0.00001726578,0.0004088708,0.0006796753,0.00006150825,0.001001625,0.00002512714,0.0003263168,0.000004286552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995648,0.00003923197,0.00006020915,0.000003191848,0.000001377317,0.000003605198,0.000155651,0.000001846136,0.0001699279],"genre_scores_gemma":[0.9988065,0.00004607517,0.0002331739,0.000007831391,0.000001135805,0.00001039389,0.000430037,0.000002527726,0.0004623074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001375798,"threshold_uncertainty_score":0.004129112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03468119793754997,"score_gpt":0.2058865964941244,"score_spread":0.1712053985565744,"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."}}