{"id":"W3114003436","doi":"10.1007/s00394-020-02464-1","title":"Improving the trustworthiness of findings from nutrition evidence syntheses: assessing risk of bias and rating the certainty of evidence","year":2020,"lang":"en","type":"review","venue":"European Journal of Nutrition","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Observational study; Grading (engineering); Credibility; Randomized controlled trial; Systematic review; Medicine; Confounding; Certainty; Trustworthiness; Nutritional epidemiology; MEDLINE; Psychology; Social psychology; Mathematics; Epidemiology; Internal medicine","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":[0.8073192,0.005080367,0.01694344,0.04973694,0.004540985,0.02143224,0.009476605,0.01485769,0.005342572],"category_scores_gemma":[0.95354,0.006979212,0.0188776,0.0245094,0.01263256,0.01762071,0.01725852,0.01201293,0.001610142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01380928,"about_ca_system_score_gemma":0.03244891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007435232,"about_ca_topic_score_gemma":0.007231275,"domain_scores_codex":[0.08086054,0.47102,0.3727362,0.01464719,0.05932799,0.001408087],"domain_scores_gemma":[0.01533681,0.8371443,0.07009119,0.02928136,0.04694086,0.001205495],"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":[0.003976078,0.0001864182,0.0243138,0.4883642,0.04721655,0.001298849,0.02493667,0.006289465,0.00180775,0.03653259,0.02386791,0.3412098],"study_design_scores_gemma":[0.003812974,0.00106499,0.01544685,0.5758201,0.04176108,0.001811268,0.005441132,0.02240768,0.004972687,0.2055597,0.1199645,0.001937036],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02525447,0.3630462,0.4207055,0.1006922,0.01708237,0.04865315,0.008033443,0.001542896,0.01498975],"genre_scores_gemma":[0.2517568,0.06647315,0.5794969,0.01557462,0.005943405,0.07608212,0.002802677,0.0007315768,0.001138769],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1926808,"threshold_uncertainty_score":0.2376099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2364486336125179,"score_gpt":0.3644189441981764,"score_spread":0.1279703105856585,"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."}}