{"id":"W2895828751","doi":"10.1016/j.jclinepi.2018.10.003","title":"Few studies exist examining methods for selecting studies, abstracting data, and appraising quality in a systematic review","year":2018,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Medical Research Council; Canadian Institutes of Health Research; National Health and Medical Research Council; Ontario Ministry of Research, Innovation and Science","keywords":"Data extraction; Systematic review; Critical appraisal; MEDLINE; Quality (philosophy); Cochrane Library; Computer science; Medicine; Reliability (semiconductor); Research design; Data science; Medical physics; Meta-analysis; Alternative medicine; Pathology; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.9592705,0.001000968,0.1368692,0.000761369,0.0002465498,0.0001883774,0.004543017,0.0007265671,0.00004328861],"category_scores_gemma":[0.9916886,0.0004232157,0.008298029,0.00152232,0.0005153507,0.0004505205,0.001183148,0.00226321,0.00004953208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448296,"about_ca_system_score_gemma":0.0006422237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004304472,"about_ca_topic_score_gemma":0.00002822387,"domain_scores_codex":[0.1283186,0.6190965,0.2456416,0.003370152,0.002583649,0.0009895572],"domain_scores_gemma":[0.004323672,0.7841413,0.2024513,0.004604232,0.00413957,0.0003399621],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000005694721,0.00003189425,0.0003279404,0.5801297,0.004165419,0.000005964937,0.0001000949,5.968719e-7,8.800384e-9,0.000122217,0.006248382,0.4088621],"study_design_scores_gemma":[0.0002209548,0.0002194164,0.00004440397,0.5903322,0.01362513,0.0004353061,0.001305685,0.0001758664,3.472604e-9,0.006012783,0.387275,0.0003532317],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001485489,0.9680004,0.02643981,0.0005370692,0.002069279,0.002837175,0.00001685226,0.000003542686,0.00008100871],"genre_scores_gemma":[0.00000289659,0.7704539,0.2275456,0.0007758661,0.0009494722,0.0000757967,0.000006239562,0.00003038083,0.000159831],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4085089,"threshold_uncertainty_score":0.999822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9949652348714091,"score_gpt":0.853682752021957,"score_spread":0.1412824828494521,"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."}}