{"id":"W2043934458","doi":"10.1016/j.forsciint.2011.07.022","title":"Decontamination of blood soaked electronic devices using ultrasonic technology","year":2011,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Infection Control in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Canadian Mounted Police","funders":"Siemens; U.S. Department of Defense","keywords":"Ultrasonic sensor; Electronics; Flammable liquid; Computer science; Materials science; Waste management; Engineering; Electrical engineering; Acoustics","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":[0.0003329333,0.0003125056,0.0002698499,0.000356969,0.0003188997,0.0005924152,0.0003817094,0.0005460415,0.001473988],"category_scores_gemma":[0.0009962574,0.0001509711,0.0002811948,0.0002319908,0.000252455,0.0003503354,0.0003459732,0.0002843569,0.0003915159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170655,"about_ca_system_score_gemma":0.0002411992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004498531,"about_ca_topic_score_gemma":0.000645096,"domain_scores_codex":[0.9995875,0.0001066367,0.00004462861,0.00005629868,0.0001348362,0.00007006023],"domain_scores_gemma":[0.9996341,0.0001182193,0.0000746454,0.00004588698,0.0001078406,0.00001926149],"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":[0.0007856949,0.00006455863,0.003900541,0.0001692016,0.00001894215,0.0004652611,0.0004117261,0.0001532047,0.9620502,0.0001513191,0.0002058271,0.03162353],"study_design_scores_gemma":[0.00001399669,0.001638119,0.008295248,0.00004418421,0.00005581073,0.0007976232,0.0007021171,0.000760315,0.9848151,0.00008188411,0.002783035,0.00001255105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912531,0.001506869,0.005864212,0.0001326577,0.00009646452,0.00002953502,0.00003219797,0.00003724846,0.001047755],"genre_scores_gemma":[0.9904061,0.001023314,0.005079644,0.00018164,0.0000235064,0.0000123417,0.00007295277,0.00001970772,0.003180767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001473988,"threshold_uncertainty_score":0.004930973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0333285267089457,"score_gpt":0.3248389450431005,"score_spread":0.2915104183341548,"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."}}