{"id":"W4384523256","doi":"10.19088/ids.2023.028","title":"Knowledge Translation in the Global South: Bridging Different Ways of Knowing for Equitable Development","year":2023,"lang":"en","type":"report","venue":"","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Universiteit van Amsterdam; Universitas Indonesia; Foreign, Commonwealth and Development Office; University of Bath; International Development Research Centre","keywords":"Intermediary; Bridging (networking); Knowledge management; Global South; Knowledge translation; Selection (genetic algorithm); Political science; Business; Computer science; Geography; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.002566194,0.000240821,0.000707743,0.0002822314,0.0002085306,0.00008753757,0.0004358062,0.0002617927,0.00005345434],"category_scores_gemma":[0.0003453593,0.0002182278,0.0002360657,0.0004473081,0.00002491091,0.00009047807,0.0001089664,0.0002781626,0.00004813317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008222926,"about_ca_system_score_gemma":0.0004185584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006732164,"about_ca_topic_score_gemma":0.002433988,"domain_scores_codex":[0.9980431,0.00002519221,0.001106568,0.0002615337,0.0001073779,0.0004561813],"domain_scores_gemma":[0.9988406,0.0003879872,0.0003976205,0.0002601297,0.000082393,0.00003125628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007573906,0.0009675051,0.2351014,0.004281498,0.001337578,0.00001254559,0.1797117,0.00008183843,0.000005015636,0.08001944,0.0659354,0.4324704],"study_design_scores_gemma":[0.001864094,0.00009941332,0.2176079,0.0007458051,0.00006356846,0.000003895272,0.004885153,0.001589192,0.00004940049,0.03470942,0.7368441,0.001538091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1309596,0.007897317,0.05004973,0.003017462,0.003422308,0.003219992,0.0007652972,0.0002147054,0.8004535],"genre_scores_gemma":[0.9936985,0.000409675,0.0008821875,0.0001342856,0.0002825912,0.000157276,0.0004761348,0.0000537566,0.00390555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8627389,"threshold_uncertainty_score":0.8899073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5346204908369321,"score_gpt":0.3717890421589481,"score_spread":0.162831448677984,"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."}}