{"id":"W1967485812","doi":"10.1289/ehp.8986","title":"Improving Indoor Environmental Quality for Public Health: Impediments and Policy Recommendations","year":2007,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Institute of Environmental Health Sciences","keywords":"Business; Incentive; Harm; Environmental quality; Public health; Environmental health; Quality (philosophy); Public economics; Psychological intervention; Environmental planning; Environmental resource management; Economics; Medicine; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002989138,0.0003537856,0.0004058926,0.00013881,0.001340257,0.00005592927,0.0002365719,0.0001380984,0.0008311096],"category_scores_gemma":[0.00007928436,0.0003822575,0.0001326641,0.0001577686,0.0006518413,0.0005362994,0.0003579607,0.0003309948,0.0001229424],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004037187,"about_ca_system_score_gemma":0.0001004059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002456531,"about_ca_topic_score_gemma":0.0005389561,"domain_scores_codex":[0.9963409,0.0003193602,0.0008416541,0.0008734975,0.0003828944,0.001241716],"domain_scores_gemma":[0.9982416,0.0002057208,0.0004875598,0.0003530196,0.000002211982,0.0007098739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003171689,0.003802976,0.06174454,0.0001985501,0.0001216631,0.000003670071,0.09686392,0.000007752476,0.03977543,0.00523235,0.005367019,0.7865649],"study_design_scores_gemma":[0.006785204,0.003256367,0.598669,0.00005463899,0.00002191194,0.00009790475,0.1498339,0.000150778,0.002366966,0.001352081,0.2356468,0.001764405],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429801,0.001636071,0.01304268,0.03729951,0.0003245538,0.0027464,0.001019206,0.000132209,0.0008193443],"genre_scores_gemma":[0.9866204,0.0006109324,0.006951183,0.004529534,0.0002376159,0.00006462134,0.0002100766,0.00005038336,0.0007252943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7848005,"threshold_uncertainty_score":0.9999599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03689962503877148,"score_gpt":0.3439346264070391,"score_spread":0.3070350013682676,"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."}}