{"id":"W4210509668","doi":"10.3390/rs14030701","title":"Temperature Variation and Climate Resilience Action within a Changing Landscape","year":2022,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto Mississauga; Natural Sciences and Engineering Research Council of Canada; Ministry of Water Resources; University of Toronto; Ministry of Environment; Mitacs; International Development Research Centre","keywords":"Livelihood; Climate change; Geography; Psychological resilience; Agriculture; Vegetation (pathology); Ecological resilience; Environmental resource management; Physical geography; Environmental science; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002738287,0.00009826072,0.00009404782,0.0002760623,0.0006084963,0.0009009063,0.0001604361,0.0002130484,0.001856207],"category_scores_gemma":[0.0007008123,0.00006640164,0.0001232615,0.0003285767,0.001202354,0.0006036749,0.0009287033,0.0002548674,0.00007322265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008607022,"about_ca_system_score_gemma":0.000429854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064961,"about_ca_topic_score_gemma":0.02700014,"domain_scores_codex":[0.9997433,0.0001178885,0.000007229548,0.00003303733,0.0000200273,0.00007845838],"domain_scores_gemma":[0.9997291,0.00006838305,0.0001004953,0.00002392928,0.00002603734,0.00005211932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001475327,0.00009474871,0.8549947,0.0002190429,0.0001555304,0.001666728,0.05841309,0.004893978,0.01367743,0.01070978,0.001289664,0.05373792],"study_design_scores_gemma":[0.000001601805,0.00005235846,0.9523723,0.00005087103,0.00001485072,0.0001537387,0.04071583,0.0007301539,0.0003639389,0.001100484,0.004431387,0.00001254864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919115,0.0001289421,0.000511141,0.0003625986,0.000007248453,0.000005728445,0.00003730887,0.00000478227,0.007030794],"genre_scores_gemma":[0.9997743,0.00003576696,0.00005870568,0.00001070187,0.000001444791,0.000001526215,0.000006487677,5.595749e-7,0.0001106102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01064961,"threshold_uncertainty_score":0.02117527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00831677028085043,"score_gpt":0.2130122711786913,"score_spread":0.2046955008978408,"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."}}