{"id":"W4313652856","doi":"10.2478/pjph-2022-0014","title":"A common concentration-response function based on the results applying lags","year":2022,"lang":"en","type":"article","venue":"Polish Journal of Public Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Health Canada; Environment and Climate Change Canada","keywords":"Statistics; Poisson regression; Parametric statistics; Computer science; Function (biology); Data mining; Mathematics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0182028,0.00009026806,0.0001782967,0.00006672662,0.001088774,0.00007339466,0.0003039698,0.00002797039,0.001278676],"category_scores_gemma":[0.001061838,0.00006633985,0.00006330805,0.0004155729,0.00008807426,0.0002783788,0.00006613203,0.0006155273,0.00003012956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124918,"about_ca_system_score_gemma":0.000844074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008414479,"about_ca_topic_score_gemma":0.00007427843,"domain_scores_codex":[0.9947986,0.002994091,0.0006833833,0.0001245107,0.0009199823,0.0004794261],"domain_scores_gemma":[0.997549,0.0009187852,0.0007927585,0.0002134659,0.00002347686,0.0005024866],"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":[0.004999423,0.001048961,0.01608886,0.00004283449,0.00002742445,0.00002216781,0.01171842,0.0233106,0.00009241471,0.004991437,0.8216556,0.1160019],"study_design_scores_gemma":[0.001486016,0.002248939,0.1497479,0.00002189575,0.000004605279,0.00004562006,0.00243619,0.008314888,0.000009258784,0.0005783311,0.8349916,0.0001147701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3188939,0.00007452284,0.002403508,0.6741619,0.0005996096,0.0005107855,0.00008190455,0.00002511074,0.003248709],"genre_scores_gemma":[0.9040479,0.00001090439,0.0001214546,0.09559385,0.0001256354,0.00001508528,0.000006328388,0.000008052104,0.00007075788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.585154,"threshold_uncertainty_score":0.9996343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1237758557765572,"score_gpt":0.3462443112679051,"score_spread":0.2224684554913479,"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."}}