{"id":"W4375859669","doi":"10.1038/s41433-023-02493-0","title":"Correction: The 5 min meta-analysis: understanding how to read and interpret a forest plot","year":2023,"lang":"en","type":"erratum","venue":"Eye","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University; Impact","funders":"","keywords":"Forest plot; Plot (graphics); Meta-analysis; Computer science; Data science; Information retrieval; Medicine; Statistics; Internal medicine; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004795941,0.0002435827,0.0006092746,0.0001380939,0.0002827116,0.0001524383,0.0003082632,0.000174692,0.001358653],"category_scores_gemma":[0.00006488294,0.000140703,0.0003810443,0.0008869761,0.0001841508,0.00008619765,0.0003115737,0.0005146551,0.0004512144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381423,"about_ca_system_score_gemma":0.00002554208,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004484361,"about_ca_topic_score_gemma":0.2670831,"domain_scores_codex":[0.9984531,0.0001015284,0.0001770146,0.0005192506,0.0004224018,0.000326753],"domain_scores_gemma":[0.9991002,0.0001404086,0.0001037436,0.0004978109,0.000005188624,0.0001526609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006619738,0.000006139809,0.00780802,0.000008665909,0.004771916,0.00000758282,0.0009212473,0.00003387438,4.836834e-7,0.00004154362,0.9863425,0.00005137082],"study_design_scores_gemma":[0.00007504564,0.0001776676,0.01423047,0.00002959338,0.04394058,0.000003951115,0.003322203,0.002052751,6.056395e-7,0.0004712897,0.9352679,0.0004279893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0007588495,0.006390895,0.03402941,0.4514062,0.07044008,0.00498947,0.0005830099,0.001071681,0.4303305],"genre_scores_gemma":[0.01641292,0.0001397781,0.00005502874,0.001270418,0.0003646981,0.00007470378,0.00004993189,0.00004144296,0.9815911],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5512607,"threshold_uncertainty_score":0.9995542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028138054008228,"score_gpt":0.3026418364811609,"score_spread":0.1998280310803381,"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."}}