{"id":"W2771308635","doi":"10.1016/j.apr.2017.11.014","title":"Characterization of air quality and sources of fine particulate matter (PM2.5) in the City of Calgary, Canada","year":2017,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Oceanic and Atmospheric Administration; Alberta Environment and Parks","keywords":"Air quality index; Particulates; Environmental science; Aerosol; Air pollution; Criteria air contaminants; Geography; Pollution; Air pollutants; Physical geography; Meteorology","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":[0.0002569408,0.0003246639,0.0003995013,0.00207513,0.002350644,0.00156381,0.001169897,0.000473279,0.001062218],"category_scores_gemma":[0.0005633383,0.0003128251,0.0003544989,0.00335404,0.0005692141,0.0002653477,0.0006293902,0.0004521303,0.0002853582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01520628,"about_ca_system_score_gemma":0.0163444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948585,"about_ca_topic_score_gemma":0.9968928,"domain_scores_codex":[0.9993638,0.00002887749,0.00003919765,0.0001163117,0.0002700354,0.0001816705],"domain_scores_gemma":[0.9992477,0.00002984435,0.00005761181,0.00001827164,0.0005526575,0.00009382121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001086601,0.00006043439,0.9841688,0.00007610137,0.00009804738,0.0002407853,0.001104505,0.0005825689,0.002713206,0.0001042864,0.001430873,0.009311751],"study_design_scores_gemma":[0.000002641819,0.000009815531,0.9976417,0.00001085521,0.00001369001,0.00003177234,0.00115762,0.0002198503,0.0002320956,0.000007566648,0.0006661681,0.000006316729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930338,0.000475128,0.0002182786,0.0001205742,0.00001120386,0.00005873253,0.003593524,0.00001478745,0.002474018],"genre_scores_gemma":[0.9951665,0.0003078961,0.0002945935,0.00008521709,0.000004909328,0.00001713684,0.001935706,0.000008544589,0.002179568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01520628,"threshold_uncertainty_score":0.1103298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08530119289871362,"score_gpt":0.3693872606646975,"score_spread":0.2840860677659839,"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."}}