{"id":"W2051647832","doi":"10.1177/1757177408099083","title":"Reduction of bacterial contamination in a healthcare environment by silver antimicrobial technology","year":2009,"lang":"en","type":"article","venue":"Journal of Infection Prevention","topic":"Infection Control in Healthcare","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society of Microbiologists","funders":"","keywords":"Antimicrobial; Contamination; Medicine; Human decontamination; Infection control; Bacteria; Reduction (mathematics); Microbiology; Intensive care medicine; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008144598,0.0003012674,0.0004584084,0.0002780819,0.0004336131,0.0009712485,0.0003595734,0.0004836614,0.001571513],"category_scores_gemma":[0.001869527,0.0001816213,0.0004278828,0.0002729607,0.0004790611,0.0003600549,0.0007784502,0.0003283338,0.0002793456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253152,"about_ca_system_score_gemma":0.0004353551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185118,"about_ca_topic_score_gemma":0.001897873,"domain_scores_codex":[0.9978513,0.0009612401,0.0001282556,0.0001482854,0.0007359187,0.0001750527],"domain_scores_gemma":[0.9989422,0.0003273637,0.0002871995,0.00007350557,0.0003079471,0.00006181926],"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":[0.003918546,0.00171871,0.03426334,0.001597774,0.0001053255,0.001534894,0.00261165,0.0003521996,0.8759793,0.0002171691,0.0002632436,0.07743778],"study_design_scores_gemma":[0.0002243653,0.09357315,0.1571438,0.0002198023,0.0002544903,0.004559007,0.005884229,0.0008828542,0.729996,0.0001914429,0.007014242,0.00005676399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976245,0.000474663,0.0008918425,0.00008117561,0.000013077,0.00007808362,0.00002380869,0.000009396715,0.0008036122],"genre_scores_gemma":[0.9928722,0.0008246119,0.005356536,0.00006317968,0.00001751342,0.00003716856,0.0000564736,0.000009254756,0.0007629996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001571513,"threshold_uncertainty_score":0.005257189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00925824284349512,"score_gpt":0.2915970238239035,"score_spread":0.2823387809804084,"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."}}