{"id":"W4379598624","doi":"10.11124/jbies-23-00213","title":"In reply to “Bias assessment: mQ or RoB?”","year":2023,"lang":"en","type":"letter","venue":"JBI Evidence Synthesis","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Art","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"],"consensus_categories":[],"category_scores_codex":[0.01599002,0.001116553,0.002364221,0.001583914,0.004443105,0.005265129,0.002323163,0.05838953,0.01120003],"category_scores_gemma":[0.09960023,0.001264067,0.001725684,0.002013967,0.003340549,0.004390975,0.002287814,0.0417439,0.01496714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005891644,"about_ca_system_score_gemma":0.007010212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007507582,"about_ca_topic_score_gemma":0.01026589,"domain_scores_codex":[0.98875,0.003438784,0.002814669,0.001116915,0.002747173,0.001132526],"domain_scores_gemma":[0.9646665,0.02080271,0.002419727,0.001098479,0.008325971,0.002686442],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000267157,0.000005271648,0.000178415,0.0000432597,0.000008653721,0.0002049178,0.00005325349,0.00001620766,0.00004280128,0.0006150742,0.9964826,0.002322821],"study_design_scores_gemma":[0.0001015455,0.00002838063,0.001331798,0.0005712206,0.00003812757,0.0008062092,0.0003642988,0.0002911306,0.0002285546,0.0051292,0.991039,0.00007049702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001164253,0.0006968803,0.0001774069,0.9561079,0.04132405,0.00003180338,0.0001593109,0.00005399305,0.001332245],"genre_scores_gemma":[0.0008745988,0.000374723,0.0002294398,0.972171,0.02301139,0.00007663298,0.0000485809,0.00003060431,0.003182991],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.98401,"threshold_uncertainty_score":0.08456433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4266379551668296,"score_gpt":0.4762154739773846,"score_spread":0.04957751881055505,"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."}}