{"id":"W2071719935","doi":"10.1097/00001648-200407000-00113","title":"APHEIS HEALTH IMPACT ASSESSMENT","year":2004,"lang":"en","type":"article","venue":"Epidemiology","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inversa Systems (Canada)","funders":"","keywords":"Life expectancy; Health impact assessment; Public health; Environmental health; Geography; Air pollution; Population; Effect modification; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005289725,0.0021033,0.001068204,0.007275633,0.0005849213,0.003085585,0.002599907,0.001314452,0.08218939],"category_scores_gemma":[0.007215606,0.0005032638,0.002487784,0.005408437,0.0003857448,0.001534104,0.003906337,0.001342709,0.02580278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003095499,"about_ca_system_score_gemma":0.006380314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02959599,"about_ca_topic_score_gemma":0.01103447,"domain_scores_codex":[0.994069,0.001340533,0.0003650001,0.0004338954,0.003428532,0.0003631297],"domain_scores_gemma":[0.9951574,0.0007220068,0.000336027,0.0004206415,0.003153554,0.000210224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007534174,0.0002572586,0.01421986,0.003667742,0.0006555562,0.0003949701,0.0001843659,0.01741242,0.000788531,0.01993578,0.7124773,0.2292527],"study_design_scores_gemma":[0.0002350815,0.0003346329,0.0241645,0.001359556,0.000269834,0.0003048893,0.0001939821,0.006908439,0.001404407,0.01253904,0.9522271,0.00005860175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008489836,0.00376377,0.02118252,0.003342547,0.0006690094,0.003324033,0.4452965,0.005272899,0.5086589],"genre_scores_gemma":[0.1731115,0.009398302,0.0551781,0.002797457,0.0007577495,0.008264478,0.5870882,0.001950257,0.161454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08218939,"threshold_uncertainty_score":0.2749509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04497022882904039,"score_gpt":0.4205031993085025,"score_spread":0.3755329704794621,"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."}}