{"id":"W3026027920","doi":"10.1017/cem.2020.339","title":"P135: Administrative codes for heat illness: a validation study in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Medical record; Gold standard (test); Diagnosis code; Emergency department; Coding (social sciences); Heat wave; Emergency medicine; ICD-10; Psychiatry; Environmental health; Statistics; Internal medicine; Population; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004926616,0.0008070067,0.0009554229,0.001687627,0.007257214,0.002884173,0.004004173,0.001097506,0.003030065],"category_scores_gemma":[0.01804975,0.0008753134,0.001542149,0.006118001,0.002113932,0.001134296,0.002093281,0.001830631,0.0007645739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07666348,"about_ca_system_score_gemma":0.1402534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979196,"about_ca_topic_score_gemma":0.9987418,"domain_scores_codex":[0.993938,0.0008194112,0.0005036885,0.0007020721,0.002627013,0.001409833],"domain_scores_gemma":[0.9758566,0.001819779,0.003032857,0.001062972,0.01644112,0.001786615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001552444,0.0002100461,0.9744197,0.0001412045,0.00009723067,0.0001541068,0.005017035,0.0002677405,0.0002150953,0.0004688505,0.0128547,0.005998952],"study_design_scores_gemma":[0.00003512562,0.00003360732,0.9919943,0.00009712284,0.00004053891,0.00004275584,0.003432576,0.0004437845,0.00008724413,0.00004365604,0.003728822,0.00002040274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682892,0.0004996806,0.00089229,0.00170658,0.0001292973,0.001289818,0.02018433,0.00004052401,0.006968258],"genre_scores_gemma":[0.9784091,0.0006118713,0.001639754,0.001221004,0.00004600336,0.0009412605,0.01190426,0.00006497648,0.005161823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07666348,"threshold_uncertainty_score":0.5562351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2467310496451393,"score_gpt":0.381576300600006,"score_spread":0.1348452509548667,"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."}}