{"id":"W1918553498","doi":"10.1111/cts.12274","title":"Community‐Engaged Strategies to Promote Relevance of Research Capacity‐Building Efforts Targeting Community Organizations","year":2015,"lang":"en","type":"article","venue":"Clinical and Translational Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; Canada Excellence Research Chairs, Government of Canada; National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Advancing Translational Sciences; National Institutes of Health; Vanderbilt University","keywords":"Relevance (law); Capacity building; Community organization; Translational research; Community building; Community development; Community-based participatory research; Public relations; Political science; Knowledge management; Medicine; Sociology; Computer science; Participatory action research","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1015459,0.00009756375,0.0002440284,0.0002394563,0.009711879,0.0000450993,0.000698772,0.00009308549,0.000044353],"category_scores_gemma":[0.06199128,0.00008581059,0.00002129376,0.003129183,0.002457238,0.0007172609,0.0002719325,0.003893914,0.00003266363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005647145,"about_ca_system_score_gemma":0.003132432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498673,"about_ca_topic_score_gemma":0.0008038152,"domain_scores_codex":[0.9845347,0.01229356,0.001194731,0.0002530316,0.001100291,0.0006236828],"domain_scores_gemma":[0.9769198,0.01923335,0.0002125637,0.000375702,0.002541829,0.0007167988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001144398,0.0004189195,0.4647531,0.0005622776,0.00001466835,0.000001256862,0.3932722,0.000705143,0.01329137,0.1191263,0.002758121,0.004982258],"study_design_scores_gemma":[0.001966571,0.0006842405,0.7803462,0.0005053513,0.00001202404,0.000003334053,0.07458478,0.001625248,0.0007835916,0.1147951,0.02435021,0.0003433835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815845,0.00001078997,0.006303174,0.008613554,0.0002427646,0.0007265378,0.00004401041,0.00004664799,0.002428003],"genre_scores_gemma":[0.9751865,0.000008194759,0.02346813,0.001149989,0.00009413945,0.00003022343,0.000005628434,0.000008295777,0.00004885084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3186874,"threshold_uncertainty_score":0.9984041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8365969156246726,"score_gpt":0.711286918546285,"score_spread":0.1253099970783876,"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."}}