{"id":"W2148897735","doi":"10.1186/1478-4505-10-20","title":"Implementation research evidence uptake and use for policy-making","year":2012,"lang":"en","type":"review","venue":"Health Research Policy and Systems","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Implementation research; Health services research; Knowledge translation; Health policy; Health administration; Evidence-based policy; Health informatics; Psychological intervention; Medicine; Obstacle; Millennium Development Goals; Public health; Public relations; Developing country; Political science; Economic growth; Alternative medicine; Nursing; Knowledge management; Computer science; Economics","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":[0.5317132,0.003708925,0.012311,0.02868318,0.003670885,0.02917876,0.01037724,0.01526551,0.0425335],"category_scores_gemma":[0.7334336,0.004234062,0.01022079,0.02533937,0.00930583,0.02346348,0.016937,0.01573152,0.0131643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02043914,"about_ca_system_score_gemma":0.1029457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007173764,"about_ca_topic_score_gemma":0.005380371,"domain_scores_codex":[0.3477294,0.4934407,0.06726586,0.01152179,0.07617281,0.003869357],"domain_scores_gemma":[0.2561826,0.5552437,0.03195706,0.06352124,0.08906223,0.004033293],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002385473,0.0003196354,0.001763919,0.174771,0.002521926,0.0002330043,0.003773132,0.000883733,0.0003061047,0.08462849,0.04920416,0.6813563],"study_design_scores_gemma":[0.0006210082,0.0003914316,0.002896887,0.5679245,0.002958799,0.0003216514,0.003751577,0.001093013,0.001211502,0.08531634,0.3332892,0.0002240355],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002875847,0.5026239,0.1411843,0.160975,0.02034225,0.03809104,0.007092507,0.001119084,0.1256961],"genre_scores_gemma":[0.09001388,0.3639824,0.4394654,0.02769161,0.005452538,0.06035785,0.004778783,0.0007433633,0.007514287],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4682868,"threshold_uncertainty_score":0.577481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9862387130051055,"score_gpt":0.859876881315681,"score_spread":0.1263618316894245,"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."}}