{"id":"W2293951656","doi":"10.1186/s12978-016-0130-3","title":"Graphical displays for effective reporting of evidence quality tables in research syntheses","year":2016,"lang":"en","type":"article","venue":"Reproductive Health","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seventh Framework Programme; Canadian Institutes of Health Research; European Commission","keywords":"Credibility; Grading (engineering); Computer science; Information retrieval; Quality (philosophy); Quality of evidence; Outlier; Radar chart; Data mining; Data science; Statistics; Artificial intelligence; Medicine; Mathematics; Meta-analysis; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3121911,0.006158675,0.006218418,0.03433429,0.003188774,0.01685154,0.005775201,0.007354994,0.2363682],"category_scores_gemma":[0.8044583,0.005070517,0.00909141,0.03269595,0.005073837,0.01439278,0.01194752,0.01226844,0.0368259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00599913,"about_ca_system_score_gemma":0.01647299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001760735,"about_ca_topic_score_gemma":0.002254846,"domain_scores_codex":[0.5182449,0.3706261,0.08414941,0.005351007,0.01996024,0.001668405],"domain_scores_gemma":[0.07976027,0.778158,0.04523993,0.03612616,0.05896509,0.001750511],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002294311,0.0003200748,0.001129113,0.05618027,0.0008149316,0.0003957915,0.007355125,0.003187366,0.001456011,0.07612102,0.6142848,0.2364612],"study_design_scores_gemma":[0.004125461,0.0006259396,0.003121328,0.04814658,0.0008856706,0.0004127905,0.002918738,0.009955199,0.003067782,0.157381,0.7686018,0.0007578291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002942216,0.007584988,0.6706867,0.03841884,0.03327049,0.05559629,0.09905104,0.05217443,0.04027501],"genre_scores_gemma":[0.01264334,0.002025903,0.8838915,0.004044529,0.002531553,0.08179658,0.005094065,0.004421668,0.003550783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6878089,"threshold_uncertainty_score":0.8481909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9748554146137173,"score_gpt":0.7358469762184969,"score_spread":0.2390084383952203,"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."}}