{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876947,0.00006974141,0.0001222277,0.00001541261,0.0004563936,0.000004239738,0.00008683456,0.00008861761,0.000175448],"category_scores_gemma":[0.00004096329,0.00006563569,0.00004719976,0.0003211352,0.0007365659,0.00009335003,0.0004251971,0.00009736555,0.00001734733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001818462,"about_ca_system_score_gemma":0.000006123834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005642802,"about_ca_topic_score_gemma":0.00114937,"domain_scores_codex":[0.9993739,0.00008254971,0.0001138499,0.0002341842,0.00006892601,0.0001265876],"domain_scores_gemma":[0.9997491,0.00004301938,0.00007277189,0.00006287232,0.00001308807,0.0000590962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001544489,0.00008139316,0.9981591,0.00000695632,0.00003098597,0.000001128757,0.0001407674,0.0001234264,0.0000294319,0.001106426,0.0001823432,0.0001226008],"study_design_scores_gemma":[0.0002129257,0.0001740685,0.9962129,7.14315e-7,0.00002446093,0.000002365901,0.00006478278,0.0002852492,0.000008161207,0.002731679,0.000218445,0.00006422563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896033,0.00003476758,0.0001279708,0.001836382,0.00007049266,0.0001205028,0.00004320718,0.00002140317,0.008141905],"genre_scores_gemma":[0.9983918,0.00002626435,0.001235992,0.0003120057,0.0000087317,0.00000477192,0.000006067943,0.000001081473,0.00001326151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008788455,"threshold_uncertainty_score":0.3510257,"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."}}