{"id":"W1955882479","doi":"10.1186/s12873-015-0043-4","title":"A spatial analysis of heat stress related emergency room visits in rural Southern Ontario during heat waves","year":2015,"lang":"en","type":"article","venue":"BMC Emergency Medicine","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine; Poisson regression; Heat wave; Preparedness; Metropolitan area; Heat stress; Demography; Environmental health; Climate change; Population; Atmospheric sciences","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005434164,0.0002538404,0.0006047346,0.0003130346,0.00007735445,0.00000158884,0.0002397783,0.0001200744,0.04208269],"category_scores_gemma":[0.0001558011,0.00020605,0.0001259391,0.001422473,0.00004436974,0.0001457183,0.000140749,0.0002049948,0.0001335405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004288914,"about_ca_system_score_gemma":0.00004026404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4686391,"about_ca_topic_score_gemma":0.8263795,"domain_scores_codex":[0.9971833,0.000108023,0.001109659,0.0003616556,0.0006741665,0.0005631907],"domain_scores_gemma":[0.9989369,0.00002078979,0.0001488691,0.0004043697,0.00003335062,0.0004557271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000109601,0.000124581,0.9636759,0.0000520199,0.00005570321,0.000006889678,0.02911391,0.003105282,0.002771619,0.000001464248,0.0009023231,0.00008077595],"study_design_scores_gemma":[0.001186174,0.0002324957,0.9889042,0.0001248989,0.0002904126,0.000001883027,0.004181473,0.004545317,0.0001274461,0.0001194438,0.00006846809,0.0002177777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946427,0.0006877462,0.00002816166,0.0003562043,0.0009878336,0.0003053507,0.000027419,0.00002940044,0.002935222],"genre_scores_gemma":[0.9963061,0.0003205446,0.00002422809,0.00001624742,0.0001567533,0.00001394877,0.0001106002,0.00002158278,0.003029984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3577404,"threshold_uncertainty_score":0.958793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06154960896169248,"score_gpt":0.3186383385882832,"score_spread":0.2570887296265907,"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."}}