{"id":"W2118057248","doi":"10.1136/jech-2012-202157","title":"A time series approach for evaluating intra-city heat-related mortality","year":2013,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Metropolitan area; Medicine; Scale (ratio); Vulnerability (computing); Mortality rate; Public health; Series (stratigraphy); Demography; Geography; Cartography; Computer science; Computer security","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":[0.003068689,0.0005906392,0.0005330246,0.004066426,0.0003241826,0.000834576,0.0007977255,0.000664446,0.002397238],"category_scores_gemma":[0.01061103,0.0001578558,0.0009206837,0.003680621,0.000294716,0.0007878772,0.0006908574,0.0007650123,0.0003310276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005439454,"about_ca_system_score_gemma":0.0004829236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007065759,"about_ca_topic_score_gemma":0.005972778,"domain_scores_codex":[0.9980851,0.00108637,0.0001623835,0.0002702037,0.0003250101,0.00007081883],"domain_scores_gemma":[0.9964761,0.002403347,0.0004362488,0.0002917279,0.0002930303,0.00009961661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000502848,0.0008066026,0.4344347,0.0004433109,0.001985363,0.0006940599,0.001336303,0.2236799,0.006833846,0.0261276,0.004336477,0.2988191],"study_design_scores_gemma":[0.00002755733,0.0007114412,0.2216604,0.00004891204,0.0001395196,0.0002411688,0.001258105,0.7607968,0.001803062,0.008289842,0.004934172,0.00008902828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5554655,0.0003951581,0.4312054,0.0003784341,0.0002060311,0.0005755551,0.005358206,0.0005956407,0.005820181],"genre_scores_gemma":[0.892921,0.0002336428,0.1014568,0.00005785874,0.00008887918,0.0008087655,0.002901604,0.00005603969,0.001475432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007065759,"threshold_uncertainty_score":0.01622897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3110727507498264,"score_gpt":0.4612597185047035,"score_spread":0.1501869677548771,"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."}}