{"id":"W7131862191","doi":"10.5281/zenodo.18799758","title":"Indigenous Knowledge Systems and AI Development in Ghana: A Synthesis Approach","year":2004,"lang":"en","type":"article","venue":"Open MIND","topic":"Indigenous Knowledge Systems and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Traditional knowledge; Indigenous; Focus group; Social system; Focus (optics); Qualitative research; Knowledge-based systems; Qualitative property","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":[],"consensus_categories":[],"category_scores_codex":[0.000487588,0.0001933898,0.0003131137,0.00002172123,0.0003752912,0.0003276579,0.0004030036,0.0001619225,0.00007413765],"category_scores_gemma":[0.00001618194,0.00006805756,0.00003136374,0.0003627683,0.00002843139,0.0001628294,0.0001747399,0.0001355514,0.0002074223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344675,"about_ca_system_score_gemma":0.00009029399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581157,"about_ca_topic_score_gemma":0.01109743,"domain_scores_codex":[0.998667,0.00007531166,0.0003223736,0.0004206336,0.0001236189,0.0003910886],"domain_scores_gemma":[0.9996417,0.00004766721,0.00007831101,0.00005411584,0.00006282218,0.0001153852],"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":[0.00004647965,0.001764141,0.007034789,0.0001134387,0.00009165753,0.00007232344,0.0642475,0.0000560397,0.01693596,0.0002569312,0.0001643585,0.9092164],"study_design_scores_gemma":[0.002361018,0.0007345951,0.1663817,0.001836193,0.00008803696,0.0006367843,0.07453096,0.0000838947,0.03420956,0.00009587159,0.7157108,0.003330536],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786916,0.001310972,0.000004086393,0.00005837942,0.00008903992,0.0009825294,0.00001607252,0.000004160407,0.01884315],"genre_scores_gemma":[0.9974063,0.000009131149,0.0006451748,0.00001099645,0.0001472186,0.0001464638,0.00002643945,0.000001352631,0.001606913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9058859,"threshold_uncertainty_score":0.6192627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926039680228513,"score_gpt":0.2402469123416658,"score_spread":0.2109865155393806,"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."}}