{"id":"W3049498585","doi":"10.1111/geb.13165","title":"A cross‐scale assessment of productivity–diversity relationships","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Deutsche Forschungsgemeinschaft","keywords":"Productivity; Species richness; Biodiversity; Ecology; Primary production; Biomass (ecology); Ecosystem; Spatial ecology; Spatial variability; Geography; Environmental science; Ecosystem diversity; 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":[0.002083335,0.0003162918,0.0003115709,0.001896545,0.0002687646,0.0008553785,0.0003314751,0.0002962911,0.001808773],"category_scores_gemma":[0.006399053,0.0001613824,0.0004195641,0.001792849,0.0004187446,0.001134521,0.00127996,0.000308581,0.0002466269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686231,"about_ca_system_score_gemma":0.0001558277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003439257,"about_ca_topic_score_gemma":0.00471633,"domain_scores_codex":[0.9989657,0.0003891523,0.000074695,0.0003228399,0.0001641366,0.00008352283],"domain_scores_gemma":[0.9945269,0.002595898,0.00131618,0.0007234204,0.0005779374,0.0002595102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004843505,0.00002595695,0.9880656,0.00002309029,0.0004423903,0.00003879151,0.0001161871,0.002098187,0.001135434,0.0002317725,0.0001874071,0.007586739],"study_design_scores_gemma":[0.000002654937,0.00005678483,0.9906135,0.000005619999,0.00004243272,0.00004267419,0.0001862849,0.008157691,0.0001910585,0.0003974015,0.0002982457,0.000005644998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994589,0.0001618209,0.003155317,0.00004015582,0.000006673084,0.000008507278,0.0006686641,0.00002941912,0.001340588],"genre_scores_gemma":[0.9990514,0.00002012925,0.000534879,0.000005437476,0.000005211745,0.000006460305,0.0002737396,0.000002778881,0.00009994247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003439257,"threshold_uncertainty_score":0.01101786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408371031378457,"score_gpt":0.2473213975176393,"score_spread":0.2332376872038547,"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."}}