{"id":"W4408485061","doi":"10.5194/egusphere-egu25-18924","title":"Biodiversity affects microclimate - plant diversity and functional traits driving temperature and humidity using proximal sensing.","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microclimate; Biodiversity; Humidity; Environmental science; Diversity (politics); Plant diversity; Atmospheric sciences; Ecology; Geography; Biology; Meteorology; Physics; Political science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001917888,0.0002925102,0.000359893,0.00003575394,0.001850861,0.00008845051,0.0001486123,0.0006897526,0.00006332314],"category_scores_gemma":[0.00002449717,0.0001336499,0.00008540711,0.0001036894,0.0001990244,0.00008455062,0.003775221,0.0005914339,0.000002022444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003831053,"about_ca_system_score_gemma":0.00001438574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00038716,"about_ca_topic_score_gemma":0.001572131,"domain_scores_codex":[0.9987262,0.00007454206,0.0001231161,0.0006425226,0.0001338898,0.0002996554],"domain_scores_gemma":[0.9995631,0.0001314319,0.0001050001,0.00005553254,0.00005847592,0.00008646375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002168842,0.000125988,0.6235886,0.0003285662,0.0002424365,0.00007835207,0.0002808171,0.00001073704,0.3666108,0.0001824086,0.001678458,0.00665589],"study_design_scores_gemma":[0.0003958515,0.00008804788,0.993104,0.000196263,0.000218987,0.00006856094,0.0003914773,0.000661182,0.003693413,0.0004108128,0.000242862,0.0005285618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972249,0.0002665074,0.000006605397,0.0008849268,0.0001775859,0.0003628189,0.0007322779,0.0002566298,0.0000877976],"genre_scores_gemma":[0.9991433,0.0001609655,0.0001897138,0.0002331555,0.00006430231,0.000001130021,0.0001396946,5.072136e-7,0.00006722326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3695153,"threshold_uncertainty_score":0.9994486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731940242323446,"score_gpt":0.1963516037534059,"score_spread":0.1690322013301714,"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."}}