{"id":"W2470711229","doi":"10.1007/978-3-319-30626-1_15","title":"Approaches for Building Community Resilience to Extreme Heat","year":2016,"lang":"en","type":"book-chapter","venue":"Extreme weather and society","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Vulnerability (computing); Disadvantaged; Psychological resilience; Extreme heat; Extreme weather; Climate change; Community resilience; Environmental health; Public health; Adaptive capacity; Environmental planning; Environmental resource management; Urban heat island; Geography; Business; Economic growth; Medicine; Psychology; Environmental science; Engineering; Economics; Ecology","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":[0.001111734,0.0006886288,0.0002211158,0.0007689778,0.001933287,0.003516848,0.001870797,0.00191938,0.02407784],"category_scores_gemma":[0.001460841,0.000196434,0.0004485565,0.0009450426,0.004431798,0.004416157,0.004284355,0.002198263,0.002182333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002717504,"about_ca_system_score_gemma":0.002696515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004519932,"about_ca_topic_score_gemma":0.01296675,"domain_scores_codex":[0.9995976,0.0001674287,0.00001073567,0.00005091285,0.0000990737,0.00007429773],"domain_scores_gemma":[0.9997032,0.0001188257,0.00001779299,0.00005358531,0.00004988945,0.00005659154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004017279,0.00003047928,0.0001234675,0.0001031532,0.000008995698,0.00004222941,0.001915496,0.002506451,0.0001997852,0.9279242,0.01836298,0.04877872],"study_design_scores_gemma":[0.000003722073,0.00001010544,0.0001405239,0.0001553433,0.000005131854,0.00003646563,0.002100637,0.001523234,0.0001249819,0.7377453,0.2581472,0.000007315486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007076561,0.0100785,0.1044489,0.02787583,0.001239676,0.000115963,0.00008681363,0.0002294995,0.8488482],"genre_scores_gemma":[0.5043408,0.02596328,0.1242676,0.004218736,0.0008026953,0.0008231291,0.0002641294,0.0003333045,0.3389863],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02407784,"threshold_uncertainty_score":0.08054835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2145475458847318,"score_gpt":0.3053591930686284,"score_spread":0.09081164718389664,"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."}}