{"id":"W2109391487","doi":"10.1186/2046-4053-3-110","title":"A Microsoft-Excel-based tool for running and critically appraising network meta-analyses—an overview and application of NetMetaXL","year":2014,"lang":"en","type":"article","venue":"Systematic Reviews","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":213,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Canadian Agency for Drugs and Technologies in Health; Ottawa Hospital","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Bayesian network; Software; Macro; Set (abstract data type); Pairwise comparison; Graphical user interface; Data mining; Interface (matter); Machine learning; Artificial intelligence; Programming language; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04044784,0.003655666,0.00306472,0.01375723,0.0007068329,0.004954601,0.004608141,0.002029038,0.1381638],"category_scores_gemma":[0.09778791,0.002663039,0.003896199,0.008680055,0.001066672,0.003953976,0.003809118,0.00370801,0.02514212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002447919,"about_ca_system_score_gemma":0.008157271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002154552,"about_ca_topic_score_gemma":0.004085715,"domain_scores_codex":[0.9832704,0.009137517,0.003558769,0.001293743,0.002439037,0.0003006311],"domain_scores_gemma":[0.8117273,0.1641738,0.009948847,0.004430369,0.008471453,0.001248298],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003034888,0.0002480101,0.002866294,0.03728694,0.002936934,0.001382191,0.00114213,0.01385081,0.003692803,0.02483539,0.5350828,0.3736409],"study_design_scores_gemma":[0.003880989,0.0006371228,0.009575152,0.0172059,0.002193861,0.001924655,0.0005070825,0.08343659,0.01012535,0.09796293,0.7717916,0.0007588638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004300487,0.005639628,0.6016821,0.005124987,0.001854925,0.009227255,0.1652129,0.1863361,0.02062161],"genre_scores_gemma":[0.008774815,0.002502295,0.9216182,0.001233335,0.0003469317,0.02174355,0.02257917,0.01457452,0.006627173],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9595522,"threshold_uncertainty_score":0.4622041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8109371258840997,"score_gpt":0.5798507692241703,"score_spread":0.2310863566599294,"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."}}