{"id":"W2901233746","doi":"10.1016/j.ajic.2018.09.009","title":"Elevating the standard of endoscope processing: Terminal sterilization of duodenoscopes using a hydrogen peroxide–ozone sterilizer","year":2018,"lang":"en","type":"article","venue":"American Journal of Infection Control","topic":"Medical Device Sterilization and Disinfection","field":"Immunology and Microbiology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"Centers for Disease Control and Prevention","keywords":"Medicine; Sterilization (economics); Hydrogen peroxide; Disinfectant; Infection control; Geobacillus stearothermophilus; Log reduction; Intensive care medicine; Surgery; Waste management; Microbiology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007004093,0.000142648,0.0005272146,0.0002007233,0.0001645776,0.00001756097,0.0001099663,0.00007328102,0.0003884686],"category_scores_gemma":[0.0004442441,0.0000974834,0.0001303591,0.000414584,0.00101534,0.0002402202,0.00002464003,0.0001724641,0.000004138822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004882251,"about_ca_system_score_gemma":0.0002090706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001408992,"about_ca_topic_score_gemma":0.00002921837,"domain_scores_codex":[0.9981939,0.000464155,0.0008959223,0.0001275296,0.0001410156,0.0001774382],"domain_scores_gemma":[0.996766,0.00013599,0.001943109,0.000139654,0.0009787956,0.00003645778],"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":[0.003116811,0.000161331,0.06213905,0.00008537122,0.0003192414,0.000001402284,0.00127723,0.0002156827,0.8644313,0.00005358052,0.00007547216,0.06812357],"study_design_scores_gemma":[0.0154667,0.02764478,0.1263994,0.00194071,0.001412483,0.001728012,0.004508557,0.003444581,0.8069636,0.0001430831,0.009652923,0.0006951265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885156,0.000225001,0.1137762,0.00007541975,0.0004263838,0.0001689089,0.000008566082,0.00001158423,0.0001519982],"genre_scores_gemma":[0.9994021,0.00003075703,0.0002347478,0.0001489072,0.0001353474,0.000003062155,0.000003297351,0.00001406417,0.00002769334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1142461,"threshold_uncertainty_score":0.4253459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200576671392975,"score_gpt":0.2816196015536659,"score_spread":0.2696138348397362,"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."}}