{"id":"W4285076434","doi":"10.1017/s1049023x22000978","title":"Canadian Wildfires: A Plague on Societies Well-Being, Inequities and Cohesion","year":2022,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Indigenous; Plague (disease); Pandemic; Preparedness; Population; Environmental health; Geography; Community cohesion; Health equity; Socioeconomics; Economic growth; Political science; Development economics; Medicine; Coronavirus disease 2019 (COVID-19); Health care; Sociology; Ecology; Infectious disease (medical specialty); Disease; Economics","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":[0.001022337,0.0004135577,0.0004515043,0.001204509,0.01768747,0.004208632,0.001226413,0.0006689519,0.01307124],"category_scores_gemma":[0.002397196,0.0001815704,0.0004443617,0.002748397,0.002729688,0.001172755,0.002831505,0.001704426,0.0004392318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08094977,"about_ca_system_score_gemma":0.1234822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978205,"about_ca_topic_score_gemma":0.9992942,"domain_scores_codex":[0.9987887,0.0001014256,0.00001698649,0.00007225997,0.0003669661,0.0006537106],"domain_scores_gemma":[0.9978067,0.00008472118,0.00009654264,0.00005167644,0.0007840329,0.001176343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004794684,0.0002171246,0.294979,0.0006042819,0.0002091975,0.00109171,0.05826879,0.0007890181,0.001351095,0.04383127,0.27788,0.3202991],"study_design_scores_gemma":[0.00003519855,0.00008196313,0.6407412,0.0006085272,0.0000960898,0.0002781776,0.1096844,0.0004889066,0.0004048283,0.004057542,0.2433875,0.0001356506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6938533,0.020761,0.0006113692,0.1131312,0.001127029,0.0001110887,0.006488594,0.0001196133,0.1637968],"genre_scores_gemma":[0.9718134,0.009696613,0.0004846631,0.002589153,0.00009915289,0.00003004536,0.0005990818,0.00003610605,0.01465166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08094977,"threshold_uncertainty_score":0.5873344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003504317750211813,"score_gpt":0.1813682875561649,"score_spread":0.1778639698059531,"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."}}