{"id":"W2986427075","doi":"10.1371/journal.pone.0216971","title":"Dissemination and stakeholder engagement practices among dissemination & implementation scientists: Results from an online survey","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Colorado School of Medicine, Anschutz Medical Campus; Canadian Institutes of Health Research; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Quality Enhancement Research Initiative; National Cancer Institute; National Institutes of Health; Centers for Disease Control and Prevention; Patient-Centered Outcomes Research Institute; American Heart Association","keywords":"Information Dissemination; Stakeholder engagement; Stakeholder; Dissemination; Data science; Business; Public relations; World Wide Web; Computer science; Political science; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03966226,0.0002107458,0.0003287776,0.00237307,0.001112027,0.002978411,0.0006624256,0.001064,0.003338198],"category_scores_gemma":[0.08328909,0.0003517864,0.0005827172,0.00230725,0.0008755595,0.003799015,0.002860722,0.0009985033,0.0007675707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135248,"about_ca_system_score_gemma":0.003299001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001690026,"about_ca_topic_score_gemma":0.001759454,"domain_scores_codex":[0.9752119,0.0151874,0.002988615,0.0009790463,0.004443652,0.001189288],"domain_scores_gemma":[0.8851062,0.06697483,0.02424056,0.003427044,0.01631304,0.003938396],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001879826,0.0005203433,0.8663756,0.00127181,0.00009852754,0.0001620499,0.0576374,0.0001094198,0.0006382951,0.0003052438,0.001670381,0.07102305],"study_design_scores_gemma":[0.00006428632,0.000976878,0.8502029,0.001420462,0.0000868471,0.0005078189,0.128039,0.0006732614,0.0008226585,0.000514644,0.01662267,0.00006859237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889626,0.0006032606,0.001508944,0.001840612,0.00001707696,0.0006938475,0.0007330715,0.00003299575,0.005607592],"genre_scores_gemma":[0.9950748,0.0007643022,0.001852771,0.0005061059,0.00002245683,0.000708559,0.0003253645,0.00001055935,0.0007350884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9603378,"threshold_uncertainty_score":0.2097566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7932398469025214,"score_gpt":0.6480182477868586,"score_spread":0.1452215991156628,"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."}}