{"id":"W2255380738","doi":"10.2135/cropsci2015.06.0348","title":"Genetic Improvement in Grain Yield and other Traits of Wheat Grown in Western Canada","year":2016,"lang":"en","type":"article","venue":"Crop Science","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; Agriculture Food and Rural Development; University of Saskatchewan; University of Alberta","funders":"Genome Prairie; Agriculture and Agri-Food Canada; Western Grains Research Foundation; University of Alberta; Natural Sciences and Engineering Research Council of Canada; Ministry of Agriculture - Saskatchewan; Genome Canada; Genome Alberta; Alberta Crop Industry Development Fund","keywords":"Cultivar; Biology; Agronomy; Yield (engineering); Grain yield; Test weight; Plant breeding; Poaceae; Animal science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002192471,0.0002964909,0.0001346029,0.0005416893,0.0008025098,0.0004367018,0.0003169599,0.0001036718,0.0006600359],"category_scores_gemma":[0.0002879446,0.0001244989,0.0002148742,0.001122756,0.0002266581,0.0001456492,0.0003165021,0.0002286625,0.00009856298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008295042,"about_ca_system_score_gemma":0.006595274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.937358,"about_ca_topic_score_gemma":0.9807195,"domain_scores_codex":[0.9997926,0.00001360336,0.000009698035,0.00005448534,0.0000761372,0.00005348676],"domain_scores_gemma":[0.9997643,0.00001347782,0.00003987538,0.00001307609,0.0001141737,0.00005502771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006375903,0.0001718519,0.4585389,0.0001100424,0.0001720832,0.0006110424,0.001434666,0.001261004,0.4566651,0.0004768152,0.001298761,0.07862204],"study_design_scores_gemma":[0.000006669522,0.00006580435,0.9924949,0.00000572711,0.0000257627,0.00006646033,0.0003887197,0.0004527705,0.004280589,0.00001825184,0.002186807,0.000007490753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971805,0.0002146447,0.0003430916,0.00004318921,0.00000295244,0.00001392624,0.0004633754,0.00002612712,0.001712223],"genre_scores_gemma":[0.99334,0.0003574828,0.001672386,0.00007011569,0.000001063054,0.00001199767,0.0009389754,0.00002034634,0.003587666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06264198,"threshold_uncertainty_score":0.1260217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724053443613623,"score_gpt":0.20951229727055,"score_spread":0.1922717628344138,"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."}}