{"id":"W2802223792","doi":"10.3390/ijerph15050839","title":"Effect of Drought on Agronomic Traits of Rice and Wheat: A Meta-Analysis","year":2018,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":433,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Agronomy; Biology; Crop; Biomass (ecology); Drought stress; Food security; Drought tolerance; Yield (engineering); Agriculture","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003107295,0.0001478481,0.001118962,0.0002152056,0.00006349524,0.00005002045,0.0003469751,0.00007940877,0.0004637628],"category_scores_gemma":[0.0001377591,0.00005219338,0.0005540036,0.0002358218,0.0001907809,0.0001167889,0.0001092469,0.0002726102,0.000003023788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161437,"about_ca_system_score_gemma":0.00006941499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001103997,"about_ca_topic_score_gemma":0.00001819025,"domain_scores_codex":[0.9973277,0.0006927744,0.0007621658,0.0001993227,0.0008133631,0.000204712],"domain_scores_gemma":[0.9978373,0.001041069,0.0007634393,0.00004403851,0.00007525986,0.0002388957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004466585,0.0002555519,0.00004315199,0.0003964108,0.01057416,0.000001820168,0.00005140285,8.766294e-8,0.0002373276,0.00005436387,0.0001730189,0.9881681],"study_design_scores_gemma":[0.0007945852,0.01923509,0.01349157,0.0006950392,0.00685535,0.00007096622,0.0003762121,0.00001071695,0.000192365,0.00009867449,0.9578471,0.0003323216],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08280617,0.9143405,0.000004039821,0.001821428,0.00006134263,0.0004053568,0.0003813846,0.000001507892,0.0001783014],"genre_scores_gemma":[0.1314994,0.8680977,0.00001910144,0.00006839968,0.0001293278,0.000008248166,0.00004628023,0.000001361448,0.0001301696],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9878357,"threshold_uncertainty_score":0.5077877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.212783636559689,"score_gpt":0.4247613099129532,"score_spread":0.2119776733532642,"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."}}