{"id":"W2057966061","doi":"10.1016/j.buildenv.2015.03.023","title":"Source apportionment of indoor and outdoor volatile organic compounds at homes in Edmonton, Canada","year":2015,"lang":"en","type":"article","venue":"Building and Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":205,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Health Canada; University of Alberta","funders":"Health Canada; University of Alberta; U.S. Environmental Protection Agency","keywords":"Environmental science; Apportionment; Indoor air quality; Volatile organic compound; Indoor air; Smoke; Environmental chemistry; Environmental health; Environmental engineering; Meteorology; Geography; Chemistry; 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":[0.0002845947,0.0003474576,0.0003255724,0.001195141,0.001768964,0.001146423,0.0008751424,0.0003166005,0.00212701],"category_scores_gemma":[0.0005035145,0.0002753135,0.0004212855,0.001796674,0.000353084,0.0002727128,0.0009613155,0.0003224414,0.000205446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01846483,"about_ca_system_score_gemma":0.01473556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947253,"about_ca_topic_score_gemma":0.9980487,"domain_scores_codex":[0.9995825,0.00002785907,0.00001822831,0.00007949204,0.0001447975,0.0001472083],"domain_scores_gemma":[0.999435,0.00003022723,0.00004515718,0.00001342172,0.0003963263,0.00007981072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00016972,0.00005083071,0.9731035,0.00008947266,0.00008422317,0.0004801893,0.003282871,0.0005076855,0.001670781,0.0003194635,0.002959667,0.01728167],"study_design_scores_gemma":[0.000003190461,0.00001200956,0.9939871,0.00002773982,0.00002147039,0.00006647587,0.003639353,0.0005000329,0.0003038814,0.00002270939,0.001404238,0.00001168685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928662,0.0003707892,0.0002459761,0.0001074765,0.00001129196,0.00003900479,0.003560681,0.00002366992,0.002775011],"genre_scores_gemma":[0.9917009,0.0003836315,0.000490113,0.00007123062,0.000004214842,0.00001963396,0.001400881,0.0000110269,0.005918247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01846483,"threshold_uncertainty_score":0.1339723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138233549857407,"score_gpt":0.2304933278398133,"score_spread":0.2091109923412393,"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."}}