{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00120223,0.0001823484,0.0004045721,0.00002082584,0.0002131821,0.000005710124,0.0002064713,0.00009688063,0.003678928],"category_scores_gemma":[0.0001069937,0.0001426624,0.000154201,0.0001274168,0.0002743738,0.0001642511,0.0001844238,0.0002239124,0.001206764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733091,"about_ca_system_score_gemma":0.00004931844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005276627,"about_ca_topic_score_gemma":0.0001749919,"domain_scores_codex":[0.9981012,0.0003557466,0.0003921795,0.0003397625,0.000148658,0.0006624519],"domain_scores_gemma":[0.999046,0.0001705923,0.0001897628,0.0002563609,0.000001318626,0.0003359647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006498011,0.0002090674,0.9702877,0.000002864968,0.00003074585,0.000005663278,0.0003152087,0.00870848,0.0004963296,0.002262576,0.007830827,0.009844057],"study_design_scores_gemma":[0.0003970631,0.0003350702,0.9614498,0.00000433713,0.000003966637,0.00001243594,0.00006335081,0.00005068273,0.00002284266,0.03400348,0.003508861,0.0001481228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954748,0.0001184364,0.01093998,0.01295456,0.0002869038,0.0003014791,0.0000117522,0.00008109532,0.02055784],"genre_scores_gemma":[0.9820499,0.0001186268,0.009335593,0.008080403,0.00008336367,0.00001945446,0.00002647841,0.00001583001,0.0002703378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0317409,"threshold_uncertainty_score":0.9995709,"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."}}