{"id":"W4362640557","doi":"10.1016/j.jclinepi.2023.03.027","title":"Presentation approaches for enhancing interpretability of patient-reported outcomes in meta-analyses: a systematic survey of Cochrane reviews","year":2023,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Prom; Medicine; Meta-analysis; Systematic review; MEDLINE; Pooling; Cochrane collaboration; Interpretability; Patient-reported outcome; Cochrane Library; Quality of life (healthcare); Pathology; Artificial intelligence; Computer science","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":["metaresearch"],"category_scores_codex":[0.6382557,0.006917055,0.01783565,0.08166744,0.002702001,0.0158914,0.006224879,0.005164369,0.006060885],"category_scores_gemma":[0.8626603,0.006848106,0.0297004,0.05230887,0.004862936,0.0184261,0.01588263,0.005367892,0.001146098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01018849,"about_ca_system_score_gemma":0.02167199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00254953,"about_ca_topic_score_gemma":0.004061742,"domain_scores_codex":[0.1709666,0.5310717,0.244848,0.00907667,0.04297349,0.001063456],"domain_scores_gemma":[0.09739601,0.7147756,0.1001458,0.02562278,0.06107197,0.0009877735],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001446228,0.0000704331,0.01477592,0.6177554,0.05078336,0.0003196452,0.01109855,0.00162771,0.00123123,0.009853503,0.009799449,0.2812386],"study_design_scores_gemma":[0.002248531,0.001313703,0.01659407,0.7677259,0.09347421,0.001892794,0.00575395,0.005300424,0.002895284,0.04252922,0.05938468,0.000887325],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01218747,0.6720814,0.2434238,0.0191792,0.002697921,0.0360625,0.008579557,0.001619095,0.004169166],"genre_scores_gemma":[0.1041785,0.1763214,0.6294333,0.004905805,0.001620369,0.07881857,0.003653584,0.0005397885,0.000528729],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3617443,"threshold_uncertainty_score":0.4460952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9844325872368183,"score_gpt":0.753615944866866,"score_spread":0.2308166423699523,"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."}}