{"id":"W2993915329","doi":"10.1016/j.healthplace.2019.102243","title":"Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement","year":2019,"lang":"en","type":"article","venue":"Health & Place","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute on Aging; Economic and Social Research Council; National Institute for Health and Care Research; National Health Commission of the People's Republic of China; Medical Research Council; State Key Laboratory of Urban and Regional Ecology; Koninklijke Nederlandse Akademie van Wetenschappen; Sichuan University; Chinese Center for Disease Control and Prevention; National Natural Science Foundation of China; United Kingdom Clinical Research Collaboration; British Heart Foundation; Wellcome Trust; Wellcome","keywords":"Checklist; Epidemiology; Strengthening the reporting of observational studies in epidemiology; Spatial epidemiology; CLARITY; Spatial analysis; Observational study; Multidisciplinary approach; Environmental epidemiology; Standardization; Public health; Geography; Environmental health; Medicine; Psychology; Computer science; Political science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01649398,0.0002852934,0.0006362607,0.00005536216,0.0003221477,0.00001480174,0.0002229761,0.0001271687,0.006328184],"category_scores_gemma":[0.002318542,0.000279084,0.00008440221,0.0001608306,0.0001623136,0.0002276484,0.0002820721,0.0005422777,0.00267003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002547712,"about_ca_system_score_gemma":0.0004268449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007591388,"about_ca_topic_score_gemma":0.001590231,"domain_scores_codex":[0.9936771,0.001039897,0.002089652,0.001076915,0.0007502022,0.001366275],"domain_scores_gemma":[0.9957848,0.0006790647,0.002178103,0.0007096384,0.00001648002,0.0006318798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001212795,0.0001650796,0.8842324,0.000207908,0.00002240563,0.00005759119,0.001523852,0.006152752,0.0003378719,0.00009324357,0.02642064,0.08066496],"study_design_scores_gemma":[0.001265159,0.0007255005,0.5591013,0.000163114,0.00001298916,0.00005515556,0.0005961578,0.00694646,0.0001874499,0.0003447873,0.4300725,0.0005294606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659916,0.0002662548,0.008719639,0.01345633,0.0006535708,0.001680088,0.00007234102,0.0001229924,0.00903725],"genre_scores_gemma":[0.9808193,0.0003621897,0.003544345,0.01341723,0.000141543,0.00006831167,0.00004072884,0.00005342409,0.001552852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4036519,"threshold_uncertainty_score":0.9999661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04038272690364497,"score_gpt":0.3732553602352761,"score_spread":0.3328726333316311,"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."}}