{"id":"W4239840148","doi":"10.1515/iupac.88.1372","title":"Sterilization","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Linguistics; Philosophy","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":[0.001467338,0.001095444,0.001328737,0.002919338,0.000643704,0.002009217,0.001847942,0.001444556,0.1452713],"category_scores_gemma":[0.01483191,0.0004437384,0.00218954,0.003970569,0.000389312,0.00167676,0.001383106,0.001787175,0.06590127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331852,"about_ca_system_score_gemma":0.002408229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131729,"about_ca_topic_score_gemma":0.01694656,"domain_scores_codex":[0.9981397,0.0003202679,0.00049881,0.0005526167,0.000342355,0.0001462665],"domain_scores_gemma":[0.9940923,0.00218203,0.001095569,0.001266628,0.00114204,0.0002214265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000487757,0.00003726023,0.005017789,0.004802914,0.0001747952,0.00008219776,0.00003898204,0.0003276849,0.0001812948,0.002008973,0.9482965,0.03854388],"study_design_scores_gemma":[0.0003079034,0.00003961893,0.01085098,0.002461036,0.0001246874,0.0003649594,0.00007003532,0.0001919516,0.000294838,0.002576962,0.9826807,0.00003618756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005547397,0.001335546,0.0004803649,0.0002854776,0.0001449584,0.0000997973,0.9901059,0.0003575294,0.006635617],"genre_scores_gemma":[0.003169467,0.001985073,0.001434066,0.001003957,0.0001022233,0.0004248459,0.9859471,0.0002149079,0.00571832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1452713,"threshold_uncertainty_score":0.485981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02545248924881902,"score_gpt":0.4796523217940931,"score_spread":0.4541998325452741,"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."}}