{"id":"W4399480848","doi":"10.22541/au.171804525.52533760/v1","title":"Equity in evidence synthesis: you can’t play on broken strings","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Ottawa; Bruyère; McMaster University","funders":"","keywords":"Equity (law); Public relations; Political science; Systematic review; Inclusion (mineral); Health equity; Cochrane collaboration; Corporate governance; Business; Medicine; Psychology; MEDLINE; Health care; Finance; Social psychology; Law","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":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4874479,0.002970096,0.0119442,0.01526098,0.005463758,0.02727988,0.007062769,0.02203973,0.02728833],"category_scores_gemma":[0.852725,0.003627053,0.005112102,0.01407141,0.03190285,0.04607553,0.0196463,0.03825927,0.006853539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00884983,"about_ca_system_score_gemma":0.0201518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002909588,"about_ca_topic_score_gemma":0.002391118,"domain_scores_codex":[0.4017127,0.487949,0.05559098,0.01150821,0.04091694,0.002322294],"domain_scores_gemma":[0.1249607,0.7998182,0.0149455,0.03090187,0.02568069,0.003693003],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001172125,0.0000905363,0.0008892834,0.02375867,0.002673733,0.0003191585,0.004148665,0.001420439,0.0002922121,0.3505106,0.3523389,0.2623857],"study_design_scores_gemma":[0.0006345859,0.0001353245,0.0003051192,0.03398303,0.0007360294,0.0001764635,0.000907863,0.00256521,0.0002686572,0.7804711,0.1796546,0.0001619424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0009452802,0.07618392,0.119349,0.693323,0.09566478,0.002048179,0.0009292708,0.0009539042,0.01060264],"genre_scores_gemma":[0.0503616,0.05052291,0.3439744,0.4525152,0.07273015,0.0195625,0.0007756243,0.001748095,0.007809386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9929372,"threshold_uncertainty_score":0.632068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8332486848865641,"score_gpt":0.5839777155072721,"score_spread":0.2492709693792921,"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."}}