{"id":"W7018510260","doi":"","title":"Durum – mechanisms of yield and grain protein improvements","year":2018,"lang":"en","type":"other","venue":"","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Yield (engineering); Grain yield; Crop yield; Cultivar","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004928417,0.0009480353,0.0003472465,0.0005394897,0.000415698,0.001672655,0.0005799833,0.0008564754,0.006060528],"category_scores_gemma":[0.0002662864,0.0001987872,0.0003551783,0.0002843962,0.000517618,0.0009284189,0.0009331747,0.0008255265,0.001667604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118205,"about_ca_system_score_gemma":0.000478398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001162498,"about_ca_topic_score_gemma":0.00107053,"domain_scores_codex":[0.9997191,0.00003304277,0.00001303409,0.00008188115,0.00007671722,0.00007621419],"domain_scores_gemma":[0.999856,0.00001691865,0.00004618044,0.00002329693,0.00002352352,0.00003411975],"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":[0.0008538229,0.0001327474,0.001370302,0.0003746375,0.00004670715,0.0006318745,0.0001130352,0.0006953739,0.8634318,0.03436011,0.003284504,0.09470512],"study_design_scores_gemma":[0.0003140463,0.001047102,0.05330657,0.0002261957,0.0001896076,0.001506206,0.0004793461,0.004313865,0.6124121,0.04009844,0.2860283,0.00007816615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6259454,0.1123997,0.02977711,0.009285422,0.002290213,0.0002112581,0.002699842,0.001684829,0.2157063],"genre_scores_gemma":[0.8990548,0.01603485,0.006115198,0.0005797372,0.0002774178,0.0000628179,0.0009111626,0.0001616955,0.07680238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006060528,"threshold_uncertainty_score":0.02027452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150141595629824,"score_gpt":0.2048974738985457,"score_spread":0.1898833143355633,"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."}}