{"id":"W2139406896","doi":"10.3390/ijerph7083211","title":"Exploring Variation and Predictors of Residential Fine Particulate Matter Infiltration","year":2010,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada; Health Canada; Simon Fraser University; Hospital for Sick Children; University of British Columbia; Wilfrid Laurier University","funders":"Health Canada; Clean Air Regulatory Agenda","keywords":"Infiltration (HVAC); Environmental science; Particulates; Air pollution; Air pollutants; Meteorology; Geography; Ecology","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":[0.0008840329,0.0002512498,0.0002846408,0.0004803948,0.0003077011,0.0004500933,0.0003727517,0.0002633731,0.0006665835],"category_scores_gemma":[0.002724433,0.0001719425,0.0003280781,0.0009641346,0.0004941447,0.0002061253,0.000471883,0.0003449403,0.00009371006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322965,"about_ca_system_score_gemma":0.001179036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4253364,"about_ca_topic_score_gemma":0.4700373,"domain_scores_codex":[0.9993392,0.0001967715,0.00003459728,0.0001843527,0.0001136731,0.0001314709],"domain_scores_gemma":[0.9988081,0.0005197647,0.0002348736,0.0001068345,0.0001873644,0.0001429109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004077924,0.000009128926,0.9968071,0.000005474762,0.00004037616,0.00003629056,0.0002940634,0.0004384717,0.0002178736,0.00004931259,0.00004686031,0.002014381],"study_design_scores_gemma":[8.070948e-7,0.00001373947,0.9986939,0.00000212895,0.000007453918,0.00001836154,0.0001976546,0.0009478785,0.00003559587,0.00002471992,0.00005582143,0.000002021613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994705,0.00006885944,0.0001968707,0.00002071924,8.985188e-7,0.00000315115,0.0001113181,0.000004485192,0.0001230261],"genre_scores_gemma":[0.9997153,0.00002598233,0.00006920585,0.000001723247,6.36096e-7,0.000001479083,0.0001159941,0.000001016624,0.00006872861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4253364,"threshold_uncertainty_score":0.8457212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1484619539788106,"score_gpt":0.3841200797244572,"score_spread":0.2356581257456465,"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."}}