{"id":"W4361274824","doi":"10.18280/ijsse.130115","title":"Forensic Investigation Approaches of DNA Analysis and Criminal Investigation","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminal investigation; Forensic science; Forensic engineering; Engineering; Computer science; Medical emergency; Criminology; Psychology; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003416452,0.00006171734,0.000116974,0.0002377275,0.00001790302,0.00001526866,0.00008399231,0.00005277914,0.000002127207],"category_scores_gemma":[0.0001231092,0.00005769946,0.00005758879,0.0001661763,0.00008508958,0.00001125354,0.00005980992,0.00007301299,1.974579e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000728166,"about_ca_system_score_gemma":0.00002856683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009639119,"about_ca_topic_score_gemma":0.00001051788,"domain_scores_codex":[0.9993724,0.00001775261,0.0002401002,0.00008907136,0.0002075757,0.00007310991],"domain_scores_gemma":[0.9996033,0.00002582715,0.00009867952,0.00005063961,0.0001573883,0.00006422296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001068063,0.00006823806,0.15207,0.0004877677,0.005646593,0.00005846873,0.00901634,0.05800635,0.7111078,0.01233051,0.0006420893,0.04949778],"study_design_scores_gemma":[0.001631073,0.0005419772,0.5102793,0.0001603003,0.0004252699,0.000255327,0.00157043,0.126613,0.3533675,0.003608884,0.001188591,0.0003583476],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950256,0.0002836792,0.004185324,0.0003526006,0.00008286365,0.00002855156,0.000009601244,0.000002759829,0.00002904759],"genre_scores_gemma":[0.9982658,0.0005555644,0.000966539,0.00001721885,0.0001195914,6.363148e-7,0.00005336925,0.000004603462,0.0000166614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3582093,"threshold_uncertainty_score":0.2352916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110401069285579,"score_gpt":0.2474112344824223,"score_spread":0.2263072237895665,"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."}}