{"id":"W4323660385","doi":"10.1097/ee9.0000000000000245","title":"Clean air in Europe for all","year":2023,"lang":"en","type":"article","venue":"Environmental Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Environmental science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002332703,0.0001496277,0.0003102035,0.00004934846,0.0001008465,0.000001496256,0.0002178908,0.0001345628,0.001290001],"category_scores_gemma":[0.0007205474,0.0001432397,0.00005657571,0.0001978712,0.0002915249,0.0001092503,0.0002387613,0.0001803908,0.006530806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002280668,"about_ca_system_score_gemma":0.000005027448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002145873,"about_ca_topic_score_gemma":0.0001214672,"domain_scores_codex":[0.997821,0.0004004972,0.0004810102,0.0004331837,0.00009031219,0.0007739419],"domain_scores_gemma":[0.9985092,0.0009214562,0.0001098411,0.0002488046,4.338206e-7,0.0002103109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001584119,0.0002303568,0.6880592,0.00003401222,0.00001548292,0.00002840238,0.00107358,0.01568585,0.00133467,0.002179873,0.2206286,0.07057154],"study_design_scores_gemma":[0.0003589682,0.0001550337,0.6875793,0.000003585705,0.000003096218,0.000004864547,0.00009604757,0.003615039,0.00005918326,0.004354446,0.3036354,0.0001349809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96701,0.00006009197,0.0009853321,0.02665944,0.0002604557,0.0006583423,0.00005445888,0.0001351239,0.004176721],"genre_scores_gemma":[0.9476792,0.0004341235,0.002971582,0.04622075,0.000102219,0.00009092481,0.0002126187,0.00004450979,0.002244136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08300683,"threshold_uncertainty_score":0.9996229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1206061038037804,"score_gpt":0.3741762179461616,"score_spread":0.2535701141423812,"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."}}