{"id":"W4386764547","doi":"10.1525/elementa.2022.00143","title":"The knowledge politics of genome editing in Africa","year":2023,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"European Commission","keywords":"Genome editing; Politics; Scholarship; Narrative; Genome; Public relations; Political science; Sociology; Biology; Genetics","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":[0.0005751572,0.00005473956,0.000062067,0.00004551989,0.0001820251,0.000008310871,0.0005037222,0.00001785615,0.000004654145],"category_scores_gemma":[0.0001130756,0.0000353646,0.00003606507,0.0005584534,0.000606866,0.000002669375,0.0003446391,0.00003577369,0.000001743126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001378866,"about_ca_system_score_gemma":0.00008193465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001424592,"about_ca_topic_score_gemma":0.00001728199,"domain_scores_codex":[0.9992514,0.00001497044,0.0001745011,0.0001293306,0.0001570223,0.000272794],"domain_scores_gemma":[0.9995664,0.00001384687,0.0000549272,0.0002873981,0.00005277678,0.00002460952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001849499,0.0000220734,0.002243162,0.00001274208,0.000005043607,1.946721e-7,0.0001786193,0.0006028521,0.9954208,0.0002826884,0.0004186152,0.000811364],"study_design_scores_gemma":[0.0001592138,0.00007065756,0.02758413,0.0000180589,0.000004157801,0.000001523593,0.001124874,0.0008015378,0.9645224,0.0001861425,0.00546351,0.00006380861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962716,0.0008619315,0.0001359163,0.0003832171,0.0003527804,0.0001007686,0.00001359118,0.000004048545,0.001876181],"genre_scores_gemma":[0.9993833,0.0002296966,0.00009866187,0.000006077663,0.00008015741,0.000002977653,0.000002313274,0.000005015904,0.000191827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03089841,"threshold_uncertainty_score":0.2236023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426711860736377,"score_gpt":0.3301989778575238,"score_spread":0.31593185925016,"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."}}