{"id":"W2156857733","doi":"10.2345/0899-8205-42.6.459","title":"Sterilizers, Part I: Heat Sterilization","year":2008,"lang":"en","type":"article","venue":"Biomedical Instrumentation & Technology","topic":"Medical Device Sterilization and Disinfection","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sterilization (economics); Dry heat; Waste management; Environmental science; Business; Materials science; Engineering; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000993619,0.001964602,0.000936501,0.002860399,0.001109248,0.001732767,0.001143783,0.001532829,0.0863867],"category_scores_gemma":[0.001926953,0.0009867897,0.0008174435,0.001466181,0.0007639971,0.00159135,0.00106394,0.002076835,0.07575125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007433454,"about_ca_system_score_gemma":0.001143821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373876,"about_ca_topic_score_gemma":0.001181179,"domain_scores_codex":[0.9984004,0.0001136262,0.00009088907,0.0002523243,0.001042486,0.0001002272],"domain_scores_gemma":[0.9988467,0.0002328055,0.0001469109,0.0001552163,0.000521636,0.00009672643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002821476,0.0004056826,0.001252824,0.00210004,0.00003838852,0.0002053474,0.0002865626,0.0007805145,0.1352076,0.004966076,0.337075,0.5173998],"study_design_scores_gemma":[0.00003998172,0.0006229677,0.004373163,0.0002382358,0.00003392806,0.001211709,0.00009125612,0.0006049502,0.09112696,0.001114324,0.9004721,0.0000704569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03015853,0.08734974,0.2879231,0.005100535,0.01478988,0.006499449,0.01115651,0.03983868,0.5171836],"genre_scores_gemma":[0.0726876,0.04853906,0.08495408,0.00470537,0.004164181,0.002531192,0.01095252,0.004351895,0.7671142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0863867,"threshold_uncertainty_score":0.2889923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195025470742988,"score_gpt":0.259735107140538,"score_spread":0.2377848524331082,"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."}}