{"id":"W2985417676","doi":"10.1016/j.ajic.2019.09.009","title":"Investigation into the cleaning methods of smartphones and wearables from infectious contamination in a patient care environment (I-SWIPE)","year":2019,"lang":"en","type":"article","venue":"American Journal of Infection Control","topic":"Infection Control in Healthcare","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Victoria; Island Health","funders":"","keywords":"Medicine; Wearable computer; Wearable technology; Mobile device; Contamination; Embedded system; Computer science; World Wide Web; Biology","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":[0.0006331055,0.0005778896,0.0004630419,0.0008370071,0.0006050757,0.001115227,0.0004827096,0.0009031193,0.001216463],"category_scores_gemma":[0.002710754,0.0002914979,0.0008630456,0.0005282933,0.0003371818,0.0007101183,0.0007273198,0.0003770058,0.0005458453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016079,"about_ca_system_score_gemma":0.0003750152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129943,"about_ca_topic_score_gemma":0.001437833,"domain_scores_codex":[0.9986681,0.0002607842,0.0001371436,0.0002692649,0.0005004896,0.0001642511],"domain_scores_gemma":[0.9979631,0.0004869584,0.0005810267,0.0001713901,0.0006872764,0.0001102632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00198251,0.0008620867,0.3472039,0.001762077,0.0002958002,0.001909407,0.005187342,0.0003814445,0.51289,0.0003333082,0.001170682,0.1260214],"study_design_scores_gemma":[0.00003346226,0.008903392,0.6869273,0.0004421956,0.0007110537,0.005746447,0.01145689,0.00205126,0.2753128,0.0003524963,0.007935615,0.0001270626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954473,0.0009963594,0.001946204,0.000136806,0.00004687219,0.00008004763,0.0002043926,0.00003122608,0.001110755],"genre_scores_gemma":[0.9897254,0.001099829,0.006898969,0.0002464733,0.00003426981,0.00007059216,0.0002432274,0.00002516532,0.001656255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001216463,"threshold_uncertainty_score":0.004069507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006800726254192046,"score_gpt":0.2716366359946789,"score_spread":0.2648359097404868,"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."}}