{"id":"W2162790191","doi":"10.1890/09-1162.1","title":"General stabilizing effects of plant diversity on grassland productivity through population asynchrony and overyielding","year":2010,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":578,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ecology; Biodiversity; Asynchrony (computer programming); Productivity; Population; Ecosystem; Biology; Biomass (ecology); Grassland; Economics; Demography; Asynchronous communication","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":[0.0001319918,0.00005940489,0.0001119575,0.00001476506,0.0002495557,0.000002216809,0.00004364743,0.00007072902,0.0000719168],"category_scores_gemma":[0.0001365468,0.00005430478,0.00001416927,0.0000362823,0.0001470596,0.00009965822,0.00021836,0.000116442,0.000007150193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000331977,"about_ca_system_score_gemma":0.000002147912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003463278,"about_ca_topic_score_gemma":0.01196665,"domain_scores_codex":[0.9995341,0.0000462857,0.00007329362,0.0001792536,0.0000529832,0.0001140958],"domain_scores_gemma":[0.9996315,0.0002104864,0.00006330739,0.00007534536,0.00000348125,0.00001583677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001308963,0.00004935699,0.9918081,0.00001370343,0.00000942826,0.000002181117,0.0003414751,0.0002626932,0.005796711,0.001441695,0.0000562431,0.0002053869],"study_design_scores_gemma":[0.0001957272,0.0001330676,0.9943569,0.000001765128,0.0000101262,0.000003141726,0.00000861476,0.0004365016,0.001138147,0.003627945,0.00003343449,0.00005460318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982695,0.000006305433,0.00004416672,0.0001291916,0.0004415853,0.0001461014,0.000003170913,0.0000107127,0.0009492933],"genre_scores_gemma":[0.9993513,0.00001247808,0.0005040566,0.00004690863,0.00002522618,0.000005174929,0.000004233636,0.00000244825,0.00004813867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01162032,"threshold_uncertainty_score":0.6677671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006587119235023578,"score_gpt":0.214154729684388,"score_spread":0.2075676104493644,"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."}}