{"id":"W4404024087","doi":"10.2139/ssrn.4999797","title":"Smoked Out: Impact of Wildfire Smoke on Labour and Buildings","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Smoke; Environmental science; Agricultural economics; Business; Architectural engineering; Engineering; Economics; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004565015,0.0003122176,0.0003388404,0.0004081408,0.0005938784,0.001880802,0.0006453946,0.001088551,0.02384292],"category_scores_gemma":[0.002316005,0.0001801673,0.0005174172,0.0006244414,0.0005612351,0.0007100996,0.001148473,0.0008516585,0.001157491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009464257,"about_ca_system_score_gemma":0.0009054103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03177691,"about_ca_topic_score_gemma":0.04415551,"domain_scores_codex":[0.9997024,0.00008919749,0.00000923829,0.00002781309,0.00006938782,0.0001019605],"domain_scores_gemma":[0.9982534,0.0008821757,0.0002037314,0.00005485627,0.0001730978,0.0004326878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004529745,0.002161606,0.9118033,0.0002863776,0.0004317124,0.001822395,0.003633125,0.008219626,0.004778943,0.005086471,0.003846984,0.05339969],"study_design_scores_gemma":[0.00003050601,0.0004529335,0.9847997,0.00006174884,0.0000934755,0.0001109953,0.006041232,0.002191458,0.0008387269,0.003154143,0.002205478,0.00001964062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903867,0.0008028755,0.0001386165,0.0007902611,0.00004659798,0.000008013769,0.0005268827,0.000004701958,0.007295298],"genre_scores_gemma":[0.9946555,0.000399073,0.00003844463,0.00006685306,0.00003639903,0.000004042964,0.0002827056,0.000005987308,0.004511091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03177691,"threshold_uncertainty_score":0.07976246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009685319156077829,"score_gpt":0.2790542276522475,"score_spread":0.2693689084961697,"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."}}