{"id":"W2023399800","doi":"10.1080/08998280.2011.11928750","title":"Rubber Gloves Redux","year":2011,"lang":"en","type":"article","venue":"Baylor University Medical Center Proceedings","topic":"Infection Control in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Redux; Natural rubber; Forensic engineering; Composite material; Engineering; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002646522,0.0001564107,0.0002664062,0.0001812498,0.0001371146,0.000008496673,0.0001935029,0.0002596403,0.003604393],"category_scores_gemma":[0.0003777645,0.0001488642,0.0001307807,0.0002731668,0.0001917905,0.0002195421,0.0001200508,0.0004685908,0.0001908983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002131718,"about_ca_system_score_gemma":0.000163777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001911611,"about_ca_topic_score_gemma":0.00001924074,"domain_scores_codex":[0.9984728,0.00001543574,0.0001941969,0.0003396749,0.0005817506,0.0003962195],"domain_scores_gemma":[0.9986398,0.00002396599,0.00007804922,0.0001182242,0.0004128835,0.000727091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002053564,0.001002219,0.9129648,0.0006021227,0.0002353975,0.0008633154,0.004651628,8.996116e-9,0.0003844382,0.02536888,0.04039147,0.01148215],"study_design_scores_gemma":[0.01308061,0.001291542,0.3528137,0.0007992242,0.0002550551,0.00152641,0.005274256,0.0004429583,0.001653724,0.000298266,0.6218868,0.0006774369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6642682,0.00004072982,0.000282239,0.007923328,0.0007098718,0.0005232793,0.00001130668,0.0004024627,0.3258386],"genre_scores_gemma":[0.9925299,0.00005413212,0.0007370535,0.002759261,0.000330099,0.000001282116,0.000008770288,0.00002012582,0.003559325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5814954,"threshold_uncertainty_score":0.9973065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03556789514912711,"score_gpt":0.2406629147202604,"score_spread":0.2050950195711332,"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."}}