{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000360168,0.0002851667,0.0002261472,0.0005553878,0.0001545548,0.0005534503,0.0001814304,0.0002357857,0.001496951],"category_scores_gemma":[0.0002055146,0.00007070175,0.000312626,0.001209901,0.000137803,0.000307886,0.0002751474,0.0004276971,0.000233541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004233923,"about_ca_system_score_gemma":0.0001952114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673222,"about_ca_topic_score_gemma":0.001967207,"domain_scores_codex":[0.9998994,0.0000131445,0.00001002496,0.00004089974,0.00002502734,0.00001152233],"domain_scores_gemma":[0.9998677,0.0000336422,0.00004752154,0.000007366541,0.00002422427,0.00001955708],"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":[0.0006582675,0.00005480722,0.01551403,0.001243088,0.0003466762,0.001766937,0.0008458801,0.0008824223,0.6985834,0.002312387,0.001859928,0.2759323],"study_design_scores_gemma":[0.0001070374,0.001110304,0.6932862,0.0007216849,0.001271803,0.005330245,0.001340819,0.001133487,0.06798611,0.003626941,0.2239913,0.00009407439],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9181424,0.06241752,0.00327742,0.001185458,0.0002725869,0.00002304548,0.002801205,0.0001865871,0.01169391],"genre_scores_gemma":[0.9333369,0.05377438,0.003454295,0.0004832867,0.0001148409,0.00002244152,0.00397241,0.0000781938,0.004763364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001673222,"threshold_uncertainty_score":0.005007744,"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."}}