{"id":"W2883719680","doi":"10.1016/j.scitotenv.2018.07.270","title":"Temperature variability influences urban garden plant richness and gardener water use behavior, but not planting decisions","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Australian Government; McGill University; National Institute of Food and Agriculture; University of Melbourne; National Science Foundation","keywords":"Species richness; Impervious surface; Context (archaeology); Climate change; Geography; Ecology; Sowing; Urban heat island; Plant community; Environmental science; Microclimate; Urban ecology; Biology; Agronomy; Urbanization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001615204,0.0001850446,0.0001742213,0.00002871171,0.001166783,0.00009466836,0.0008726252,0.00006685832,0.0005577269],"category_scores_gemma":[0.00008919033,0.00008436641,0.0000570202,0.0001568468,0.004520613,0.0003274395,0.001429065,0.0002146317,0.0001496961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383893,"about_ca_system_score_gemma":0.00002484935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006277025,"about_ca_topic_score_gemma":0.00003748608,"domain_scores_codex":[0.9976431,0.0001230885,0.0002787885,0.0004982065,0.000947617,0.0005092009],"domain_scores_gemma":[0.9987658,0.0001327577,0.0001169767,0.0008264427,0.000008245458,0.0001498024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008205372,0.0001582069,0.1847079,0.000004963128,0.00001043906,0.000002858406,0.003623614,0.001771503,0.8084561,0.00007944579,0.0007516433,0.0003512547],"study_design_scores_gemma":[0.0002111606,0.0001245531,0.9136709,0.00002690636,0.00005214226,0.00004418464,0.000315139,0.0004744453,0.08434457,0.0001165406,0.0004067706,0.0002126724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981518,0.000009625831,0.000005028812,0.0007468005,0.0001795756,0.0003994908,0.00003432559,0.00001224826,0.0004610511],"genre_scores_gemma":[0.9976735,0.00002214351,0.0003349715,0.0001214148,0.00005870583,0.00001680129,0.000001132416,0.000008825781,0.001762544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.728963,"threshold_uncertainty_score":0.9981885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720257685786356,"score_gpt":0.2262032951163139,"score_spread":0.2090007182584504,"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."}}