{"id":"W1880782081","doi":"","title":"Multihospital infection prevention collaborative: informatics challenges and strategies to prevent MRSA.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Informatics; Medicine; Coaching; Infection control; Methicillin-resistant Staphylococcus aureus; Health informatics; Medical emergency; Intensive care medicine; Public health; Nursing; Staphylococcus aureus; Psychology","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":[0.03516598,0.0004611076,0.0003694075,0.0009415999,0.006254351,0.005373769,0.002280229,0.001876134,0.003663837],"category_scores_gemma":[0.04936006,0.0004713857,0.0005277643,0.001146243,0.001714909,0.004379009,0.007862533,0.001809813,0.0005365507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008454939,"about_ca_system_score_gemma":0.04892831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07525073,"about_ca_topic_score_gemma":0.1855335,"domain_scores_codex":[0.9669909,0.02326417,0.001091358,0.001467776,0.004737485,0.002448465],"domain_scores_gemma":[0.954819,0.01150251,0.00439467,0.003588734,0.006182041,0.01951303],"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":[0.0008591412,0.009074574,0.5132641,0.001648088,0.0003000578,0.0007547803,0.04529211,0.001254495,0.00166194,0.003421607,0.02158745,0.4008816],"study_design_scores_gemma":[0.001618974,0.01477061,0.6027592,0.003264396,0.0003770753,0.00100933,0.2473426,0.008418945,0.002552185,0.00627397,0.1113368,0.0002758607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.901693,0.004167436,0.00891488,0.06900971,0.000432306,0.0033592,0.0004325497,0.0001804794,0.01181035],"genre_scores_gemma":[0.9615137,0.001190236,0.02813992,0.005164232,0.0001232526,0.001324172,0.0003196769,0.00001545297,0.002209482],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07525073,"threshold_uncertainty_score":0.1859777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180890618715625,"score_gpt":0.2641924233753412,"score_spread":0.2461033615037787,"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."}}