{"id":"W2075342439","doi":"10.1186/1748-5908-6-59","title":"Community-based knowledge translation: unexplored opportunities","year":2011,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"University of Melbourne","keywords":"Knowledge translation; Knowledge management; Tacit knowledge; Context (archaeology); Scope (computer science); Medicine; Process (computing); Health informatics; Public relations; Computer science; Public health; Political science; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009818438,0.0001809253,0.0002009231,0.0006655206,0.00481744,0.00004321131,0.0009133052,0.00005715854,0.005191152],"category_scores_gemma":[0.0004286344,0.0001757727,0.0000452083,0.001803306,0.0008997055,0.001442952,0.0001316117,0.0004587575,0.0006063071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000352479,"about_ca_system_score_gemma":0.004139575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288879,"about_ca_topic_score_gemma":0.00150285,"domain_scores_codex":[0.9947538,0.001887642,0.00117061,0.0003387694,0.0008096694,0.001039532],"domain_scores_gemma":[0.9960771,0.001587471,0.0004614442,0.0005988308,0.0007924196,0.0004826961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001050719,0.0002111983,0.04743949,0.0004140113,0.00001526321,0.000004914602,0.7613528,0.000004776309,0.008589675,0.04582676,0.02189195,0.1141441],"study_design_scores_gemma":[0.005336712,0.0004679366,0.1263988,0.0001003763,0.00003193561,0.000003575026,0.3869923,0.0004760713,0.0120577,0.003726295,0.4637189,0.0006893905],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7748075,0.00002368863,0.03008727,0.01276669,0.002122115,0.003548206,0.0003051675,0.0006476922,0.1756917],"genre_scores_gemma":[0.9729676,0.000008096466,0.009547463,0.0164999,0.00008444698,0.0005141919,0.00004120617,0.0000195679,0.0003175639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4418269,"threshold_uncertainty_score":0.9964781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9793088774904426,"score_gpt":0.7611726335535226,"score_spread":0.21813624393692,"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."}}