{"id":"W4296001808","doi":"10.1088/1748-9326/ac9009","title":"Historical transboundary ozone health impact linked to affluence","year":2022,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Ozone; Socioeconomic status; Environmental science; Ozone depletion; Geography; Turning point; Environmental protection; Pollution; Natural resource economics; Environmental health; Meteorology; Economics; Population; Ecology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003683436,0.0002202996,0.0002874538,0.000178803,0.002040142,0.00004525257,0.0007340133,0.00004324917,0.01502559],"category_scores_gemma":[0.00006736239,0.0002258485,0.0001317574,0.0006040994,0.0003981136,0.000255533,0.000875628,0.001243724,0.001846365],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02124596,"about_ca_system_score_gemma":0.0001017939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004513673,"about_ca_topic_score_gemma":0.00005205512,"domain_scores_codex":[0.9935255,0.001218725,0.0004330762,0.0006970444,0.002576448,0.001549178],"domain_scores_gemma":[0.9978867,0.0002032193,0.00007644334,0.0005419749,0.00000126039,0.001290432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005149418,0.001124201,0.07617775,0.00003346277,0.00002546877,0.0001471428,0.009650503,0.01210683,0.06067784,0.0000215963,0.7900956,0.04942467],"study_design_scores_gemma":[0.0005268711,0.001874356,0.4663052,0.000008120099,0.00000241506,0.00003403309,0.0004865175,0.0001399122,0.00007174117,0.0001266996,0.5300931,0.0003310037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8571413,0.0002806236,0.0006151982,0.1404227,0.0001622733,0.000893176,0.00006919851,0.00005049543,0.0003650919],"genre_scores_gemma":[0.963282,0.00005840479,0.00115797,0.03383762,0.00009433484,0.0002040009,0.00002476184,0.0000430381,0.001297794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3901275,"threshold_uncertainty_score":0.9992591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08567062507864112,"score_gpt":0.387345775883787,"score_spread":0.301675150805146,"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."}}