{"id":"W4389855599","doi":"10.54097/ijbls.v4i1.10","title":"Wildfire Health Risks in Relation to Local Senior Population’s CRD Incidence Rate in the Greater Toronto Area","year":2023,"lang":"en","type":"article","venue":"International Journal of Biology and Life Sciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Environmental health; Public health; Population; Geography; Government (linguistics); Natural disaster; Incidence (geometry); Environmental protection; Medicine; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001657416,0.000127529,0.0001307378,0.000541719,0.0004759344,0.0004449674,0.0002513202,0.0001435342,0.001639724],"category_scores_gemma":[0.0009042839,0.0001003604,0.0002022249,0.0008483887,0.0002364672,0.0001483518,0.000407495,0.000229349,0.0001446719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997057,"about_ca_system_score_gemma":0.0009110799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6610233,"about_ca_topic_score_gemma":0.7932467,"domain_scores_codex":[0.9998537,0.0000174037,0.00001461002,0.00002756363,0.00004606453,0.00004060964],"domain_scores_gemma":[0.9993371,0.00004608158,0.0002089163,0.00002836725,0.0001756313,0.0002038645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001806999,0.000008008175,0.9980314,0.000008051957,0.00001442277,0.00005482316,0.000395032,0.00009701928,0.00009174202,0.00002075826,0.0002323025,0.001028273],"study_design_scores_gemma":[3.965453e-7,0.00001157557,0.9989478,0.000003845808,0.000004276852,0.00003369913,0.0007904908,0.00007881816,0.00001630644,0.000003858408,0.0001077074,0.000001299556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986454,0.00006524289,0.00002122796,0.00004032621,0.00000203203,0.000003589807,0.0005372536,0.000002228569,0.0006827121],"genre_scores_gemma":[0.9991953,0.00007287157,0.00001946264,0.000007692741,0.000002136973,0.000002378377,0.0003375688,4.694495e-7,0.0003622132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3389767,"threshold_uncertainty_score":0.6819459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923327669569931,"score_gpt":0.3358411996600671,"score_spread":0.3066079229643678,"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."}}