{"id":"W2115963345","doi":"10.1186/1748-5908-6-46","title":"Developing a decision aid to guide public sector health policy decisions: A study protocol","year":2011,"lang":"en","type":"review","venue":"Implementation Science","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; McMaster University; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Decision aids; Health administration; Health policy; Health services research; Medicine; Delphi method; Public health; Management science; Protocol (science); Public relations; Health informatics; Nursing; Political science; Computer science; Economics; Alternative medicine","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":[0.2064454,0.002688397,0.003350132,0.007252845,0.00607211,0.006959557,0.005503759,0.007389273,0.06350684],"category_scores_gemma":[0.1893485,0.004147681,0.004620661,0.007590387,0.005139633,0.007867713,0.006902913,0.009810345,0.01296408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01268234,"about_ca_system_score_gemma":0.0811973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003052635,"about_ca_topic_score_gemma":0.005956124,"domain_scores_codex":[0.9065654,0.06889351,0.01311368,0.003621348,0.005416416,0.00238966],"domain_scores_gemma":[0.8395597,0.09307012,0.01300252,0.01313459,0.03398272,0.007250305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02931409,0.01247026,0.006614536,0.1117969,0.001020121,0.0033322,0.04289409,0.01358777,0.003888559,0.08413298,0.1625169,0.5284317],"study_design_scores_gemma":[0.0663904,0.01076484,0.01070325,0.09274329,0.001343585,0.001214726,0.03366181,0.01481337,0.007766919,0.08697093,0.672496,0.001130921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.00139014,0.0002018161,0.01090786,0.00063994,0.0001574871,0.984297,0.001183938,0.00005035131,0.001171533],"genre_scores_gemma":[0.000748515,0.0001479228,0.01629769,0.000148123,0.00001363694,0.9822195,0.0001748532,0.000004594781,0.000245228],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.2064454,"threshold_uncertainty_score":0.9785941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7774669367761226,"score_gpt":0.7478925916382573,"score_spread":0.02957434513786528,"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."}}