{"id":"W4387770082","doi":"10.17269/s41997-023-00819-9","title":"Correction: The association between income inequality and adolescent body mass index: findings from the COMPASS study (2016–2019)","year":2023,"lang":"en","type":"erratum","venue":"Canadian Journal of Public Health","topic":"Human Health and Disease","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; McGill University; Brock University; University of Alberta","funders":"","keywords":"Compass; Index (typography); Association (psychology); Body mass index; Inequality; Economic inequality; Psychology; Geography; Medicine; Cartography; Mathematics; Computer science; Internal medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009359936,0.0003171086,0.001066265,0.0005250663,0.0009876692,0.0003146771,0.0004683747,0.00039611,0.0001399196],"category_scores_gemma":[0.004583232,0.0002018995,0.0001757344,0.0005913217,0.0001116102,0.0001434376,0.0000412748,0.004031206,0.00003748608],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004471665,"about_ca_system_score_gemma":0.04240309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08363236,"about_ca_topic_score_gemma":0.1054223,"domain_scores_codex":[0.9944716,0.001682785,0.001428649,0.0003205638,0.001050053,0.001046331],"domain_scores_gemma":[0.9914927,0.001020973,0.001530786,0.0005274293,0.0007337865,0.004694274],"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":[0.000009738605,0.00002543109,0.4881702,0.00008780454,0.0001462916,0.00003252177,0.000761617,1.317594e-7,6.15307e-9,0.000003934013,0.509657,0.001105291],"study_design_scores_gemma":[0.0008582785,0.0003067079,0.6523176,0.0004769134,0.0001263526,0.00001012526,0.001902651,0.00001730226,8.125027e-9,0.00005262037,0.3438304,0.0001010416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3348982,0.01260306,0.0002229759,0.5521877,0.09041776,0.004950846,0.002858275,0.0001079041,0.001753272],"genre_scores_gemma":[0.9460707,0.0006907236,0.00000485281,0.01596002,0.01307792,0.00002060753,0.0006038719,0.00008787912,0.02348346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6111724,"threshold_uncertainty_score":0.99935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07055396453338306,"score_gpt":0.3407894725027623,"score_spread":0.2702355079693792,"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."}}