{"id":"W4200172348","doi":"10.17269/s41997-021-00555-y","title":"Correction to: Socio-economic resources and adult mental health in Canada: controlling for time-invariant confounders and investigating causal directionality","year":2021,"lang":"en","type":"erratum","venue":"Canadian Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Confounding; Directionality; Psychology; Mental health; Econometrics; Computer science; Statistics; Mathematics; Psychiatry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01009056,0.003348509,0.005686799,0.009445653,0.008021231,0.007520494,0.008024389,0.007678664,0.1762643],"category_scores_gemma":[0.187474,0.002626206,0.004784436,0.01206246,0.003393553,0.003182664,0.003099857,0.01292894,0.04290428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02156032,"about_ca_system_score_gemma":0.08688471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7775928,"about_ca_topic_score_gemma":0.7947395,"domain_scores_codex":[0.9876872,0.001215495,0.002556185,0.001486616,0.005146792,0.001907727],"domain_scores_gemma":[0.8882915,0.0179781,0.003716896,0.007169445,0.07732611,0.0055178],"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":[0.00002665978,0.000003502081,0.0001573399,0.0001144854,0.00001825917,0.00005432224,0.00002404728,0.00002846063,0.000004306011,0.0002313481,0.9980106,0.001326819],"study_design_scores_gemma":[0.0007809367,0.00002942397,0.007876462,0.00213543,0.0004146758,0.0004654152,0.0006432064,0.0008858308,0.0002472974,0.003494211,0.9827906,0.0002365368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002375751,0.0009469003,0.0005188198,0.03585912,0.9315137,0.0001140937,0.02786867,0.0004626903,0.002478454],"genre_scores_gemma":[0.04279267,0.01039302,0.01295683,0.1114884,0.2748062,0.002573888,0.04582809,0.007266341,0.4918946],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2224072,"threshold_uncertainty_score":0.5896629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04057109878119679,"score_gpt":0.3106404345253065,"score_spread":0.2700693357441097,"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."}}