{"id":"W2108231799","doi":"10.1093/ageing/afu199","title":"Weather warnings predict fall-related injuries among older adults","year":2014,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Winter storm; Confidence interval; Injury prevention; Occupational safety and health; Rate ratio; Incidence (geometry); Demography; Poison control; Fall prevention; Suicide prevention; Cohort study; Cohort; Medical emergency; Storm; Meteorology; Geography; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001874968,0.0001081218,0.0001198613,0.00002194613,0.0001905631,0.00004009242,0.00007285461,0.00007125883,0.0006658476],"category_scores_gemma":[0.00004830713,0.00008819505,0.00002321262,0.00008306248,0.0001104801,0.0002240963,0.0001093868,0.000124324,0.0001597665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002057247,"about_ca_system_score_gemma":0.00000135155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009158597,"about_ca_topic_score_gemma":0.0003807564,"domain_scores_codex":[0.9991807,0.00003183652,0.0001470004,0.0002132585,0.0001278679,0.0002993715],"domain_scores_gemma":[0.9996228,0.00004511385,0.00006036472,0.0001187056,0.000002640951,0.0001503883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002636358,0.0000637708,0.7730718,0.0001117012,0.00001320241,0.0004990819,0.04616277,0.00001640569,0.001411346,0.00004257406,0.007054118,0.1715269],"study_design_scores_gemma":[0.0003782865,0.00007275517,0.993032,0.0002019314,0.000009931146,0.000002842824,0.0002578922,0.0008816417,0.00007309567,0.0003012553,0.004657528,0.0001308181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881677,0.00007512508,0.00002449749,0.0002970803,0.00006063626,0.0001287357,0.000001530288,0.00006431831,0.01118037],"genre_scores_gemma":[0.9979759,0.0001054295,0.00004331501,0.000653661,0.00005953948,0.000007533641,0.000007031389,0.00001440611,0.001133197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2199602,"threshold_uncertainty_score":0.7290565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009086503037046167,"score_gpt":0.2320198074800912,"score_spread":0.222933304443045,"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."}}