{"id":"W4286669276","doi":"10.1163/17087384-bja10058","title":"Transition to the Fourth Industrial Revolution: Africa’s Science, Technology and Innovation Framework and Indigenous Knowledge Systems","year":2022,"lang":"en","type":"article","venue":"African Journal of Legal Studies","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"International Development Research Centre","keywords":"Indigenous; Traditional knowledge; Intellectual property; Leverage (statistics); Context (archaeology); Knowledge production; Business; Political science; Economic growth; Economics; Knowledge management; Geography; Ecology; Computer science; Biology; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001644934,0.00007946405,0.0001875133,0.0002306178,0.001399441,0.00006578076,0.0001991001,0.00003696875,0.00000414023],"category_scores_gemma":[0.0002657118,0.00003037763,0.00001876913,0.00349298,0.0003595168,0.0001318641,0.000187804,0.0003049477,3.415721e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958251,"about_ca_system_score_gemma":0.00009992134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001559057,"about_ca_topic_score_gemma":0.00001694076,"domain_scores_codex":[0.999044,0.00009565084,0.000324626,0.0001446435,0.0002003597,0.0001907171],"domain_scores_gemma":[0.9992797,0.0001389315,0.0001687214,0.00003107271,0.0003371406,0.00004437034],"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":[0.0006679236,0.0005199352,0.03086243,0.00005927404,0.0004851295,0.00006934268,0.1522508,0.0003923398,0.00328081,0.2388971,0.007968056,0.5645468],"study_design_scores_gemma":[0.0002480335,0.002372092,0.01588124,0.00004048536,0.00003419004,0.0003015998,0.3045236,0.00001240626,0.00006018134,0.00522874,0.6710904,0.0002071144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691202,0.005534637,0.00003821576,0.02457703,0.0003222601,0.0002377235,0.000006757477,0.000008548499,0.0001545917],"genre_scores_gemma":[0.9994436,0.00007262123,0.0000877315,0.000093943,0.0002060639,0.00002629304,3.28608e-7,4.4971e-7,0.00006899967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6631223,"threshold_uncertainty_score":0.9999006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04047456646169133,"score_gpt":0.2552508172372354,"score_spread":0.214776250775544,"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."}}