{"id":"W3133083656","doi":"10.1111/1365-2745.13631","title":"Biodiversity facets affect community surface temperature via 3D canopy structure in grassland communities","year":2021,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université du Québec à Trois-Rivières","funders":"Deutsche Forschungsgemeinschaft","keywords":"Canopy; Species evenness; Species richness; Biomass (ecology); Grassland; Environmental science; Biodiversity; Plant community; Ecology; Atmospheric sciences; Community structure; Microclimate; Ecosystem; 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":[0.0004478927,0.0002070189,0.0002891201,0.001198162,0.0003738157,0.0009811247,0.000203374,0.0003639454,0.001102606],"category_scores_gemma":[0.001152623,0.0002045992,0.0004478107,0.0006513213,0.0004801231,0.0004916752,0.0006151153,0.0002223636,0.0001745795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005278329,"about_ca_system_score_gemma":0.0001565198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00717027,"about_ca_topic_score_gemma":0.01322206,"domain_scores_codex":[0.9996896,0.00009708376,0.00001753167,0.0001081396,0.00003817587,0.00004958184],"domain_scores_gemma":[0.9991741,0.0002894958,0.0002471875,0.00006825962,0.000108585,0.0001123695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001466668,0.00004499621,0.9680821,0.00006551032,0.0002349987,0.00007353845,0.0008296327,0.004600212,0.01944967,0.0001864803,0.0001913604,0.006094772],"study_design_scores_gemma":[0.000002374894,0.00001932023,0.9902875,0.000004023524,0.00001536726,0.00003164626,0.0002270786,0.008963188,0.000200255,0.0001307477,0.0001105496,0.000007876784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990985,0.0000346615,0.000482304,0.000007505109,6.982231e-7,0.000002573144,0.0002054536,0.00001523884,0.0001529735],"genre_scores_gemma":[0.9994377,0.000007279225,0.0003580201,0.000003956861,9.008162e-7,0.000003953519,0.0001547897,0.000003153301,0.00003008357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00717027,"threshold_uncertainty_score":0.01425707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106584967664495,"score_gpt":0.229644861981378,"score_spread":0.2189863652149285,"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."}}