{"id":"W4414140346","doi":"10.1111/pbr.70029","title":"Genetic Gains in Durum Wheat ( <scp> <i>Triticum turgidum</i> ssp. <i>durum</i> </scp> ) Across the Globe: Yield, Quality and Adapting for Variable Weather Patterns","year":2025,"lang":"en","type":"article","venue":"Plant Breeding","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada; University of British Columbia","funders":"Agricultural Research Service; Saskatchewan Wheat Development Commission; U.S. Department of Agriculture","keywords":"Abiotic component; Mediterranean climate; Population; Yield (engineering); Agriculture; Biomass (ecology); Plant breeding; Staple food; Genetic gain","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009052348,0.0002006129,0.0002841946,0.00001521364,0.0003956974,0.0001714862,0.0002733854,0.0001800928,0.0000139899],"category_scores_gemma":[0.0002000807,0.00008350678,0.00007520219,0.0002492091,0.0000639319,0.00005676581,0.0001723508,0.00019787,0.000002172552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001794992,"about_ca_system_score_gemma":0.00001164789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120435,"about_ca_topic_score_gemma":0.00246281,"domain_scores_codex":[0.9983709,0.00008778526,0.0003653927,0.0004111294,0.0001339052,0.0006309007],"domain_scores_gemma":[0.9981852,0.001538259,0.00007874639,0.00007780782,0.00004716894,0.00007283463],"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":[0.00004674621,0.0001248899,0.4035204,0.0001444924,0.00003839962,0.00001774411,0.0009612305,0.00003425494,0.572457,0.002710426,0.004457688,0.01548671],"study_design_scores_gemma":[0.001597463,0.0006715398,0.8618089,0.0007198312,0.0001073715,0.0001523013,0.007368262,0.002630542,0.01805967,0.00632246,0.1000087,0.0005529671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993428,0.001211651,0.0002144194,0.002202414,0.0003446479,0.0003745514,0.0004958631,0.00003519962,0.001693234],"genre_scores_gemma":[0.9968893,0.0003338697,0.0002149522,0.001337643,0.0004160799,0.00004677068,0.00004106616,0.000002332599,0.0007179802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5543973,"threshold_uncertainty_score":0.3405308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04949265609537905,"score_gpt":0.2701099825876234,"score_spread":0.2206173264922444,"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."}}