{"id":"W2604440501","doi":"10.1111/gcb.13706","title":"Asymmetric responses of primary productivity to precipitation extremes: A synthesis of grassland precipitation manipulation experiments","year":2017,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":338,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Alberta; University of Alberta","funders":"Division of Emerging Frontiers; Division of Environmental Biology; Cordis; National Institute of Food and Agriculture","keywords":"Grassland; Precipitation; Productivity; Environmental science; Primary productivity; Primary production; Ecology; Ecosystem; Meteorology; Geography; Economics; Biology","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":[0.01368192,0.001691849,0.003850228,0.001841329,0.0004805624,0.001555665,0.001044623,0.0007086756,0.002390448],"category_scores_gemma":[0.02154161,0.0006585766,0.005918426,0.002210026,0.0009505325,0.0009772372,0.001237801,0.001216255,0.000308867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427787,"about_ca_system_score_gemma":0.001227616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003527301,"about_ca_topic_score_gemma":0.005232367,"domain_scores_codex":[0.9942281,0.002227967,0.001356188,0.001398021,0.0005979593,0.0001916984],"domain_scores_gemma":[0.976559,0.01528668,0.003600733,0.002672655,0.001630609,0.0002502958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.01814616,0.003392539,0.08033847,0.132014,0.2479353,0.0008894193,0.00231724,0.01262975,0.1366724,0.004614486,0.004817914,0.3562322],"study_design_scores_gemma":[0.003059816,0.02261082,0.3617285,0.01099614,0.4592111,0.0007688758,0.0008489642,0.0076713,0.04855486,0.01355078,0.07021938,0.0007793335],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5685543,0.2963836,0.1057732,0.000846996,0.001017614,0.004918766,0.01288752,0.001227526,0.008390283],"genre_scores_gemma":[0.8322232,0.07637528,0.06747019,0.001543506,0.0003924837,0.007585749,0.01220413,0.0004667696,0.001738698],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01368192,"threshold_uncertainty_score":0.07235777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06137332512764161,"score_gpt":0.2984926539335522,"score_spread":0.2371193288059106,"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."}}