{"id":"W2204246264","doi":"10.1016/j.forsciint.2015.12.026","title":"Simulated radioactive decontamination of biological samples using a portable DNA extraction instrument for rapid DNA profiling","year":2015,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Canadian Mounted Police","funders":"Division of Chemistry; Health Canada; Defence Research and Development Canada","keywords":"Contamination; Human decontamination; Radiochemistry; Chemistry; Chromatography; Extraction (chemistry); Strontium; DNA extraction; Polymerase chain reaction; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003338518,0.000371196,0.0002586621,0.0002068009,0.0003577918,0.0004647384,0.0005641464,0.0005642575,0.001164033],"category_scores_gemma":[0.0006904468,0.0002119221,0.0003048652,0.0004043059,0.0003410532,0.0002895167,0.0004083202,0.0005361034,0.0003730169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625609,"about_ca_system_score_gemma":0.0005992359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008015506,"about_ca_topic_score_gemma":0.001754213,"domain_scores_codex":[0.9996737,0.00005994178,0.00001703387,0.0000910953,0.0001187067,0.00003954862],"domain_scores_gemma":[0.9996841,0.0001235992,0.00006455527,0.00004668226,0.00005753889,0.00002349255],"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":[0.0001736534,0.00002540255,0.0008090594,0.00004656191,0.000006647627,0.000056763,0.00006493521,0.0007180609,0.9933407,0.00007414263,0.00007279358,0.004611423],"study_design_scores_gemma":[0.00001580866,0.0004742801,0.001879186,0.000007781929,0.00002290268,0.0001141054,0.00006551239,0.003856201,0.991586,0.0001022514,0.001863698,0.00001228998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931592,0.0003051425,0.06584374,0.0001328208,0.00005683758,0.0001319414,0.0002532305,0.0002850573,0.001399184],"genre_scores_gemma":[0.9437259,0.0004928136,0.05134914,0.0001638175,0.00002067943,0.0001581604,0.0004883576,0.00006354198,0.003537548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001164033,"threshold_uncertainty_score":0.003894031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09039044918395894,"score_gpt":0.3233059407934402,"score_spread":0.2329154916094813,"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."}}