{"id":"W2773013777","doi":"10.1016/j.jclinepi.2017.12.004","title":"Recommendations for assessing the risk of bias in systematic reviews of health-care interventions","year":2017,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":218,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transparency (behavior); Workgroup; Psychological intervention; Systematic review; Risk assessment; Health care; Risk analysis (engineering); Context (archaeology); Actuarial science; Information bias; Reporting bias; Medicine; Applied psychology; Selection bias; Psychology; MEDLINE; Computer science; Business; Nursing; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_broad"],"consensus_categories":["metaresearch","metaepi_broad"],"category_scores_codex":[0.8481968,0.000158347,0.01959383,0.000285228,0.0002305621,0.00008948032,0.002643035,0.0001411657,0.0004059037],"category_scores_gemma":[0.9551225,0.00005631268,0.01141718,0.0002459007,0.0002487399,0.0002437557,0.0001330429,0.0005186342,0.00002708797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002552349,"about_ca_system_score_gemma":0.0002021014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003394072,"about_ca_topic_score_gemma":0.0001287037,"domain_scores_codex":[0.3531589,0.4646846,0.1795929,0.0006397571,0.001547931,0.0003758975],"domain_scores_gemma":[0.2004711,0.4920533,0.3003937,0.004086179,0.002840862,0.0001547758],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001653995,0.0002096825,0.8125257,0.01075603,0.0006119965,4.633937e-7,0.0004725451,0.0001273059,4.89692e-7,0.004315025,0.05734701,0.1136172],"study_design_scores_gemma":[0.00124304,0.0008106885,0.8003206,0.02813035,0.001780226,0.00002856181,0.004650198,0.005215623,8.670481e-7,0.08348646,0.07416812,0.0001652423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1000333,0.0670583,0.705605,0.1154051,0.005257852,0.005479678,0.00007430909,0.000001648409,0.001084751],"genre_scores_gemma":[0.906226,0.007053272,0.08513568,0.0009756965,0.000248505,0.00005553977,0.000002651584,0.000009508797,0.000293187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8061926,"threshold_uncertainty_score":0.9984832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.983329733355029,"score_gpt":0.7788333389815846,"score_spread":0.2044963943734445,"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."}}