{"id":"W4293010396","doi":"10.11159/icsta22.151","title":"Development of a Multi Pollutant Model to Assess Air Pollution Association with Human Health Effects","year":2022,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA ...)","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Health Canada","keywords":"Pollutant; Human health; Air pollution; Association (psychology); Environmental science; Pollution; Computer science; Environmental health; Environmental planning; Ecology; Biology; Medicine; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001301635,0.0001003154,0.0001468015,0.00005801332,0.0005030885,0.00001891196,0.0003477681,0.00002397604,0.00007889076],"category_scores_gemma":[0.0001097546,0.00008303084,0.00001590691,0.0001571659,0.00008689755,0.00007734219,0.0002544228,0.000156846,0.000003503796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005466361,"about_ca_system_score_gemma":0.0001201181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004092168,"about_ca_topic_score_gemma":0.00004850017,"domain_scores_codex":[0.9987043,0.00003626823,0.0003330279,0.0002135987,0.0005557854,0.0001570642],"domain_scores_gemma":[0.9991118,0.00009136111,0.0005307015,0.00008087666,0.00009572026,0.00008950139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001283687,0.000244274,0.001395291,0.00007009048,0.00002688911,3.416135e-8,0.0026481,0.001972201,0.009193675,0.9767541,0.001025037,0.006541894],"study_design_scores_gemma":[0.003764498,0.001604472,0.1808904,0.0005940186,0.0001276067,0.00001414337,0.01390881,0.07465026,0.04374261,0.6518765,0.0274856,0.001341112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4486738,0.00001201203,0.5298523,0.01321145,0.00009176625,0.002158053,0.001432567,0.00004772753,0.004520221],"genre_scores_gemma":[0.9538257,0.000004809257,0.04351878,0.00173576,0.000009693165,0.0002014446,0.00001312265,0.000008444388,0.0006822417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5051519,"threshold_uncertainty_score":0.3869401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07318739061153343,"score_gpt":0.3491204475818475,"score_spread":0.275933056970314,"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."}}