{"id":"W1568239438","doi":"10.1007/s00431-003-1184-0","title":"Regional distribution of risk for childhood diabetes in Austria and possible association with body mass index","year":2003,"lang":"en","type":"article","venue":"European Journal of Pediatrics","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Medicine; Body mass index; Poisson regression; Demography; Obesity; Incidence (geometry); Population; Risk factor; Linear regression; Ecological study; Pediatrics; Internal medicine; Environmental health; Statistics","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":[0.0005347079,0.0001980223,0.0003802228,0.001805183,0.0002854975,0.0006229473,0.0003456728,0.0004481242,0.002677525],"category_scores_gemma":[0.001399554,0.0004051713,0.0005727657,0.001104741,0.0003593669,0.000320838,0.0006904747,0.0003568764,0.0005460237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005084489,"about_ca_system_score_gemma":0.0002399343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006844364,"about_ca_topic_score_gemma":0.00708844,"domain_scores_codex":[0.9994465,0.000151062,0.00006496442,0.0001244494,0.0000404333,0.0001727651],"domain_scores_gemma":[0.998857,0.0002523494,0.0004026683,0.00009065858,0.0001455393,0.0002517437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003686744,0.00003434715,0.9954064,0.00001175948,0.00008043045,0.0001229995,0.0001758192,0.0002322474,0.001149098,0.0001001449,0.0001261659,0.002191928],"study_design_scores_gemma":[0.000005342244,0.00005959343,0.9991185,0.000004932059,0.00002066727,0.0002368286,0.0001764653,0.0001556829,0.00005388482,0.00003614976,0.0001282068,0.000003714204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986854,0.0002853965,0.0001272501,0.00002723206,0.00000330549,0.000002549573,0.0003531952,0.000007408371,0.0005080964],"genre_scores_gemma":[0.9992688,0.0001331921,0.0001146317,0.00001071386,0.000004813388,0.000004762513,0.0003019761,0.000004414108,0.0001567489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006844364,"threshold_uncertainty_score":0.01360905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003876714682724041,"score_gpt":0.1922145936899235,"score_spread":0.1883378790071995,"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."}}