{"id":"W2944357061","doi":"10.1111/ele.13270","title":"More salt, please: global patterns, responses and impacts of foliar sodium in grasslands","year":2019,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Science Foundation","keywords":"Herbivore; Nutrient; Herbaceous plant; Sodium; Arid; Biology; Ecology; Agronomy; Botany; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002542267,0.0002978162,0.000527269,0.0001070497,0.00007352272,0.000009602582,0.0002712798,0.0006195498,0.0002998218],"category_scores_gemma":[0.0001090095,0.0002871485,0.00008188306,0.000129712,0.0005695144,0.00009164463,0.0002958095,0.0007054752,0.0001317917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003142443,"about_ca_system_score_gemma":0.00002812889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004390691,"about_ca_topic_score_gemma":0.005790699,"domain_scores_codex":[0.9981532,0.0002624378,0.0003725104,0.0005044146,0.0001746042,0.0005328948],"domain_scores_gemma":[0.9989186,0.0004953842,0.0002681452,0.0002747781,0.000007152614,0.00003593159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003701788,0.00001837914,0.6968429,0.00004810602,0.00005248278,0.0002421813,0.0001091453,0.0000315972,0.00006077584,0.00000590975,0.3025339,0.00001756146],"study_design_scores_gemma":[0.0006687286,0.0001156296,0.9931862,0.00002742307,0.00005046942,0.00003681512,0.00002529618,0.00008514056,0.00001122177,0.0001403006,0.005392408,0.0002603825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6698241,0.00004485187,0.00001693058,0.3291756,0.0003678895,0.0002292288,0.0001144336,0.00001369868,0.0002132936],"genre_scores_gemma":[0.5444747,0.00009314503,0.00008654826,0.4546584,0.0001237565,0.00002745126,0.00007240677,0.00001890011,0.0004447331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2971415,"threshold_uncertainty_score":0.999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005958041071208986,"score_gpt":0.2368392734662656,"score_spread":0.2308812323950566,"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."}}