{"id":"W4297235682","doi":"10.17159/obiter.v25i2.14860","title":"DNA EVIDENCE IN SOUTH AFRICA: FALLACIES AND THE FUTURE","year":2022,"lang":"en","type":"article","venue":"Obiter","topic":"Legal Issues in South Africa","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Profiling (computer programming); Legislature; Political science; Law; DNA profiling; Common law; Biology; DNA; Genetics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048282,0.00006036365,0.00009770062,0.00003684215,0.0005356555,0.00009619504,0.0003227649,0.00002973116,0.0005044588],"category_scores_gemma":[0.0001736324,0.00004151105,0.00003183268,0.0003609805,0.0004041302,0.000145221,0.0002417429,0.0002143105,0.00002978179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006945017,"about_ca_system_score_gemma":0.00004467653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001505295,"about_ca_topic_score_gemma":0.0002308923,"domain_scores_codex":[0.9987316,0.0004357291,0.00009938033,0.0001583516,0.0003565617,0.0002183518],"domain_scores_gemma":[0.9995028,0.0002470278,0.00003837786,0.0001560786,0.0000173841,0.00003828016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000355103,0.000007209705,0.007335918,0.000002903196,0.000003169989,0.000007890284,0.971107,0.000003620805,0.000008813506,0.01940881,0.001645628,0.0004335188],"study_design_scores_gemma":[0.0002659664,0.00001268863,0.001100033,0.000006915304,0.000005936259,4.180646e-7,0.08443748,0.00001118719,0.000002735736,0.002074269,0.9120002,0.00008217563],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7217767,0.03661896,0.00001271164,0.03643329,0.001698243,0.0008647782,0.00002265316,0.0001362283,0.2024365],"genre_scores_gemma":[0.9908652,0.00003773273,0.00006719621,0.0004904417,0.0002841174,0.00006071213,2.873791e-7,0.000005305089,0.00818902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9103546,"threshold_uncertainty_score":0.552347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152925795317972,"score_gpt":0.2845128952228036,"score_spread":0.2529836372696239,"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."}}