{"id":"W3103249642","doi":"10.1007/s00484-020-02044-2","title":"Heat risk exacerbation potential for neurology patients during the COVID-19 pandemic and related isolation","year":2020,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"European Regional Development Fund","keywords":"Isolation (microbiology); Pandemic; Medicine; Population; Exacerbation; Coronavirus disease 2019 (COVID-19); Vulnerability (computing); Neurology; Environmental health; Intensive care medicine; Medical emergency; Disease; Infectious disease (medical specialty); Internal medicine; Psychiatry; Bioinformatics; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003665389,0.00007190836,0.0001151991,0.00008526892,0.0001192,0.00001818528,0.0001829734,0.00008776035,0.0004151685],"category_scores_gemma":[0.0004662547,0.00005271061,0.00004972988,0.00008836801,0.0001056554,0.0001605181,0.00009038587,0.0001658926,0.00001261323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010042,"about_ca_system_score_gemma":0.00001416481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004898753,"about_ca_topic_score_gemma":0.00002099175,"domain_scores_codex":[0.9990464,0.0001247183,0.0003557996,0.0001300759,0.0001978961,0.0001451345],"domain_scores_gemma":[0.9992931,0.0001902243,0.0002575535,0.00004267639,0.00004739561,0.000168988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002477548,0.00006568522,0.9624391,0.00001426715,0.00007921579,0.0000244865,0.002011527,0.003556911,0.01972296,0.0000170559,0.002212272,0.007379018],"study_design_scores_gemma":[0.004450973,0.001620202,0.9694716,0.000003554904,0.00005529213,0.0007210436,0.0000568575,0.01310281,0.00009991421,0.002366785,0.007941468,0.0001095001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655499,0.00005761203,0.00189237,0.03162064,0.0006571917,0.000154808,0.00003633903,0.000008538243,0.0000226223],"genre_scores_gemma":[0.9933725,0.0003167027,0.00009749772,0.005986298,0.0001960206,0.000003281224,0.00001454111,0.000006959971,0.000006197064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02782262,"threshold_uncertainty_score":0.4545804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03506441754178379,"score_gpt":0.3055155297291901,"score_spread":0.2704511121874063,"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."}}