{"id":"W2029896888","doi":"10.2135/cropsci2006.02.0092","title":"Response of Chickpea Yield to High Temperature Stress during Reproductive Development","year":2006,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; China Meteorological Administration; Saskatchewan Pulse Growers; Institute of Desert Meteorology, China Meteorological Administration; University of Manitoba","keywords":"Point of delivery; Biology; Horticulture; Yield (engineering); Crop yield; Crop; Agronomy; Animal science; Materials science","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":[0.0001088459,0.0003027612,0.0002227952,0.0001555312,0.000153878,0.0003011758,0.0001461466,0.0002170021,0.0005152701],"category_scores_gemma":[0.000160595,0.0001633362,0.0002111815,0.00009152733,0.0001157247,0.0001504101,0.0001940073,0.0003736451,0.0001136173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004873291,"about_ca_system_score_gemma":0.0001492812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004012305,"about_ca_topic_score_gemma":0.005545397,"domain_scores_codex":[0.9999249,0.00001220682,0.000006137572,0.0000282201,0.00001294321,0.00001565621],"domain_scores_gemma":[0.9997995,0.00003097322,0.00005782423,0.00002389138,0.00003471779,0.00005306376],"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":[0.0002069317,0.00001260242,0.00515423,0.00002198058,0.00002373473,0.00004593491,0.00003912039,0.0000650435,0.993701,0.00001257645,0.00001501936,0.0007018351],"study_design_scores_gemma":[0.0000163787,0.0005737678,0.8405725,0.000005524573,0.000046824,0.0002765469,0.0001368029,0.0008463578,0.1566398,0.00003385321,0.0008362303,0.0000155616],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994358,0.0002007754,0.0001263625,0.00001071199,0.000002096908,0.000002437891,0.00006415998,0.000004617497,0.0001529293],"genre_scores_gemma":[0.9991049,0.0001065013,0.000188912,0.00002293359,0.000001292184,0.000005777752,0.0002055325,0.000004974856,0.0003591235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004012305,"threshold_uncertainty_score":0.007977903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009865014557276596,"score_gpt":0.1881105566098769,"score_spread":0.1782455420526003,"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."}}