{"id":"W2079653584","doi":"10.1016/j.buildenv.2015.03.010","title":"Impact of residential building regulations on reducing indoor exposures to outdoor PM 2.5 in Toronto","year":2015,"lang":"en","type":"article","venue":"Building and Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Retrofitting; Valuation (finance); Capital cost; Building code; Environmental science; Environmental health; Business; Engineering; Civil engineering; Finance; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004022811,0.0001852074,0.0001481681,0.0003114194,0.0007606311,0.0005746583,0.0006181629,0.0003232087,0.001656493],"category_scores_gemma":[0.001814027,0.0001441288,0.0003284427,0.0005426544,0.0003989749,0.0001579969,0.0005116948,0.0002971349,0.0001291018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.014046,"about_ca_system_score_gemma":0.01620406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9553925,"about_ca_topic_score_gemma":0.9802428,"domain_scores_codex":[0.9992841,0.0001614274,0.00004061055,0.00007047945,0.0001897538,0.0002536287],"domain_scores_gemma":[0.9987764,0.0001703354,0.0003046913,0.00005062319,0.0004397248,0.0002582192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002646649,0.000773594,0.8563491,0.0007476353,0.0004803464,0.001280213,0.007735324,0.02071176,0.0212955,0.003026191,0.01713041,0.06782325],"study_design_scores_gemma":[0.00001640352,0.0001217429,0.9935536,0.00003023208,0.00007391931,0.00001949898,0.001223949,0.0008604751,0.00103663,0.00003482562,0.003019119,0.000009455825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918336,0.0006732276,0.00022601,0.0006810322,0.00002106051,0.00003354598,0.000813361,0.00002685596,0.005691268],"genre_scores_gemma":[0.9974958,0.0002738488,0.0001921872,0.00009881712,0.000008343966,0.0000132357,0.000256996,0.00000405751,0.001656755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04460752,"threshold_uncertainty_score":0.1019113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04657660856643974,"score_gpt":0.3449313632109244,"score_spread":0.2983547546444847,"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."}}