{"id":"W4388802563","doi":"10.1016/j.forsciint.2023.111887","title":"Processing biological samples from simulated radiological terrorist events using Rapid DNA instruments","year":2023,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Canadian Mounted Police","funders":"","keywords":"Contamination; Context (archaeology); Radiological weapon; Strontium; STR analysis; DNA; Radioactive contamination; Radiochemistry; Microsatellite; Chemistry; Biology; Allele; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005513658,0.0004726803,0.0002316665,0.0005076891,0.0005723605,0.0005581101,0.0004375075,0.0009371328,0.001866469],"category_scores_gemma":[0.001029326,0.0002752474,0.0004108674,0.0004090099,0.0004103683,0.0002624004,0.0003331425,0.0004599497,0.0008955026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152466,"about_ca_system_score_gemma":0.0006823643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336065,"about_ca_topic_score_gemma":0.002306137,"domain_scores_codex":[0.9995278,0.00007194433,0.00003448515,0.0001274455,0.0001911541,0.00004728202],"domain_scores_gemma":[0.9994671,0.0001714724,0.00008418201,0.00005390413,0.0001929614,0.00003028851],"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":[0.00058471,0.00009824053,0.00653827,0.0001014849,0.00002434296,0.0002417121,0.0002775983,0.003321879,0.9774851,0.0001264395,0.0001639962,0.0110362],"study_design_scores_gemma":[0.00005085672,0.001908686,0.01599174,0.00002932582,0.00009343979,0.0005079867,0.0005465837,0.009065019,0.9663759,0.0004199347,0.004974113,0.00003648941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456591,0.0001913983,0.04944951,0.0001164346,0.00007465205,0.0005089595,0.0007990416,0.0002689624,0.00293202],"genre_scores_gemma":[0.8973966,0.0004418994,0.09629333,0.0002413206,0.00002669512,0.0004229929,0.001160801,0.00008937716,0.003926931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001866469,"threshold_uncertainty_score":0.006243944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06327556730541918,"score_gpt":0.3044434326924092,"score_spread":0.24116786538699,"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."}}