{"id":"W4401760569","doi":"10.1007/s10389-024-02334-8","title":"Exploring the diabesity characteristics and associated all-cause mortality at a population level: results from a small European island state","year":2024,"lang":"en","type":"article","venue":"Journal of Public Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Alfred Mizzi Foundation; Università ta' Malta","keywords":"Public health; Epidemiology; Environmental health; Population; Demography; Medicine; European population; Geography; Gerontology; Internal medicine; Sociology; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.005634626,0.0001112333,0.0002248999,0.00005293917,0.0002195839,0.0001864086,0.0001281685,0.00002368164,0.00006605202],"category_scores_gemma":[0.0005875739,0.00007462785,0.00004033562,0.0001743247,0.00003809493,0.0004818629,0.0001425028,0.000309122,0.00003136112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007439055,"about_ca_system_score_gemma":0.00005898453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002951415,"about_ca_topic_score_gemma":0.009054926,"domain_scores_codex":[0.9978306,0.0005569995,0.0006865423,0.0001731629,0.0003489489,0.0004037199],"domain_scores_gemma":[0.998628,0.0002488066,0.0004815342,0.0001497622,0.00002158052,0.0004703141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009907913,0.0002456267,0.8084679,0.0001439167,0.0002903045,0.0002617652,0.04306237,0.00002883828,0.0002342077,0.00001960055,0.01587165,0.1312748],"study_design_scores_gemma":[0.0002987906,0.0001087476,0.9931203,0.0001078374,0.00002271581,0.00001517444,0.00009715421,0.0003749217,0.000001853244,0.000150648,0.005630569,0.00007131507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836005,0.0001244392,0.00007054801,0.01499192,0.000395275,0.0001255027,0.0005195133,0.00002151897,0.0001508099],"genre_scores_gemma":[0.9957889,0.002630874,0.00004877575,0.001126196,0.0002197015,0.000001096088,0.00008187159,0.00001693919,0.00008562626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1846524,"threshold_uncertainty_score":0.5052862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5201714969680185,"score_gpt":0.3693919913067676,"score_spread":0.1507795056612509,"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."}}