{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03486492,0.0008093836,0.000675717,0.005450709,0.002005189,0.003918715,0.001746507,0.002078148,0.009408229],"category_scores_gemma":[0.01118023,0.000490185,0.000886648,0.007014319,0.004911822,0.005176228,0.007701355,0.00292726,0.001662058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095111,"about_ca_system_score_gemma":0.007506065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005513613,"about_ca_topic_score_gemma":0.00719215,"domain_scores_codex":[0.9726323,0.02078886,0.00118058,0.001874687,0.003183639,0.0003397991],"domain_scores_gemma":[0.9884687,0.004763657,0.0007339725,0.001450614,0.003781157,0.0008018198],"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":[0.0001070909,0.0002964538,0.01509624,0.002327962,0.0002887988,0.0002396124,0.004287855,0.00116594,0.0005652446,0.3230864,0.09127185,0.5612665],"study_design_scores_gemma":[0.00003900746,0.000155449,0.03327401,0.002630591,0.0001253405,0.0006018737,0.003838682,0.001533118,0.0006423921,0.120934,0.8361839,0.00004157838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01605779,0.228169,0.336283,0.1069136,0.01229122,0.001994804,0.002576552,0.0003997458,0.2953142],"genre_scores_gemma":[0.2400948,0.1290512,0.4509922,0.05139363,0.01046872,0.008661937,0.002632955,0.0002794185,0.1064252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03486492,"threshold_uncertainty_score":0.1843855,"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."}}