{"id":"W2361455150","doi":"","title":"Air pollution and health: a European and North American approach (APHENA).","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air pollution; Pollution; Consistency (knowledge bases); Geography; Environmental health; Regional science; Environmental planning; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005996229,0.00007765921,0.0001133029,0.0000161356,0.0001651492,0.0000161468,0.00005535761,0.00001062265,0.000003704412],"category_scores_gemma":[0.00002118588,0.00006892112,0.00001000717,0.0001707983,0.0001745588,0.0001252859,0.00004341206,0.00008542569,0.00001169115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007924178,"about_ca_system_score_gemma":0.000005189052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005743153,"about_ca_topic_score_gemma":0.0002247817,"domain_scores_codex":[0.9990302,0.0001134911,0.0001353576,0.0002094295,0.0001240875,0.0003873974],"domain_scores_gemma":[0.999385,0.000007001022,0.00007991722,0.0001063423,0.000001378511,0.0004203867],"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":[0.00001077837,0.00004571454,0.04905232,0.000009944676,0.000001397376,8.176114e-7,0.0006900503,0.00003273282,5.630141e-7,0.00007443326,0.003805256,0.946276],"study_design_scores_gemma":[0.0001539407,0.00007422006,0.9902974,0.000001037879,0.000001887586,0.000007696188,0.00006316235,0.00009261175,0.000001020763,0.00006438382,0.0091673,0.00007531067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944546,0.0001385834,0.000383439,0.03791342,0.00002028033,0.0005418247,0.000006031765,0.00006598307,0.01638448],"genre_scores_gemma":[0.9696978,0.0001370373,0.001124065,0.02887552,0.00003720843,0.00001886454,0.000003549885,0.000005121626,0.0001008483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9462007,"threshold_uncertainty_score":0.2810521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0618054209916347,"score_gpt":0.2647005702938778,"score_spread":0.2028951493022431,"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."}}