{"id":"W3093302182","doi":"10.1007/s00038-020-01502-3","title":"Reflecting on knowledge translation strategies from global health research projects in Tunisia and the Republic of Côte d’Ivoire","year":2020,"lang":"en","type":"article","venue":"International Journal of Public Health","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal; McGill University; Health Sciences Centre","funders":"","keywords":"Cote d ivoire; Public health; Knowledge translation; Global health; Political science; Environmental health; Economic growth; Medicine; Knowledge management; Nursing; Humanities; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2071114,0.001139948,0.0008680898,0.006067424,0.01458082,0.02135972,0.002722766,0.006082505,0.006898269],"category_scores_gemma":[0.1783687,0.0007578185,0.001025606,0.007756296,0.009373505,0.01144958,0.02113565,0.006892898,0.0007543654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03586615,"about_ca_system_score_gemma":0.1150569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04881141,"about_ca_topic_score_gemma":0.06542297,"domain_scores_codex":[0.862957,0.1085097,0.007217492,0.003430318,0.008503082,0.009382373],"domain_scores_gemma":[0.8013551,0.137607,0.01026307,0.007318456,0.03279392,0.01066246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006004215,0.0004310209,0.02312387,0.004315587,0.0002459751,0.003471189,0.6582406,0.0009432872,0.004558008,0.0447583,0.0289431,0.2303687],"study_design_scores_gemma":[0.0002392887,0.0006031961,0.02945676,0.008788761,0.0002826691,0.0006822786,0.7083282,0.0007569903,0.004559118,0.01469567,0.2314626,0.0001444336],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.39233,0.01052953,0.008722691,0.5289919,0.002153011,0.001902756,0.0006861564,0.0001384535,0.05454539],"genre_scores_gemma":[0.9288679,0.005913845,0.0153889,0.03646142,0.0003887565,0.001318039,0.0003986061,0.000148501,0.01111403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2071114,"threshold_uncertainty_score":0.9777728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.934036329493794,"score_gpt":0.7699811583497297,"score_spread":0.1640551711440643,"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."}}