{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006151414,0.00174846,0.005314597,0.003019162,0.0003724995,0.00153126,0.001417627,0.00108861,0.001958834],"category_scores_gemma":[0.0114916,0.0006553449,0.01593255,0.00409687,0.0002995309,0.0007036438,0.00086187,0.0008831115,0.0001568323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008117201,"about_ca_system_score_gemma":0.001387471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004432456,"about_ca_topic_score_gemma":0.008743053,"domain_scores_codex":[0.9968982,0.001588023,0.0006337246,0.000544675,0.0002342153,0.0001011098],"domain_scores_gemma":[0.9924509,0.005953114,0.0007111097,0.0003498097,0.0004048897,0.0001301542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001633922,0.00006558527,0.03835732,0.1005954,0.8062006,0.0004241322,0.0001440858,0.001603387,0.001280895,0.0003715857,0.001339896,0.04798328],"study_design_scores_gemma":[0.0002084544,0.000266434,0.03432396,0.006962961,0.9514314,0.0003131331,0.00008839259,0.0007594921,0.0004277435,0.0006265431,0.004553645,0.00003778502],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01662593,0.9806268,0.001332667,0.0003485249,0.0001064006,0.00004651009,0.0006589681,0.00002751469,0.0002266668],"genre_scores_gemma":[0.4278603,0.5639147,0.004998172,0.0006926587,0.000216456,0.0002395286,0.001699179,0.00004425541,0.0003347353],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006151414,"threshold_uncertainty_score":0.03253216,"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."}}