{"id":"W4286274488","doi":"10.18280/ria.360310","title":"A Study on DNA Profiling Techniques and Transnational Exchange of DNA Data from Databank","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Korean Peninsula Historical and Political Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); DNA profiling; Terrorism; Data science; Computer science; Scope (computer science); Political science; Computer security; DNA; Law; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005941743,0.0003365735,0.0002538842,0.003268829,0.001018043,0.002957114,0.0007726162,0.0007167147,0.001415842],"category_scores_gemma":[0.02835009,0.0002437445,0.0005202846,0.007825283,0.0008307026,0.006713395,0.001003704,0.0008173282,0.0003593468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130987,"about_ca_system_score_gemma":0.001548803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00415912,"about_ca_topic_score_gemma":0.003132521,"domain_scores_codex":[0.9935342,0.003122085,0.00040233,0.001043319,0.001662459,0.0002356109],"domain_scores_gemma":[0.9800556,0.01265298,0.002030998,0.001960327,0.003050195,0.0002497814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003239211,0.0002005399,0.1281101,0.0009716969,0.0001557368,0.0007139052,0.007805898,0.007171758,0.007403092,0.09015887,0.004127869,0.7528566],"study_design_scores_gemma":[0.00005431106,0.001112942,0.2579336,0.002649447,0.0007287719,0.008042503,0.03585183,0.2139225,0.07073426,0.07382236,0.3347997,0.0003479093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5943057,0.01756311,0.3326122,0.005706215,0.0002991268,0.0004242598,0.0009699445,0.0005512079,0.04756824],"genre_scores_gemma":[0.8522636,0.009240783,0.1315331,0.0003937884,0.00008070707,0.0001456794,0.0007069943,0.00009330034,0.005542081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005941743,"threshold_uncertainty_score":0.03142333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1722675984122648,"score_gpt":0.3636686110419783,"score_spread":0.1914010126297135,"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."}}