{"id":"W7104558912","doi":"10.2139/ssrn.5716042","title":"Bayesian compartmental modelling of MRSA transmission within hospitals in Edmonton, Canada","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Markov chain Monte Carlo; Transmission (telecommunications); Bayesian probability; Bayesian inference; Inference; Markov chain; Methicillin-resistant Staphylococcus aureus; Bayes' theorem","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001794859,0.0009891551,0.001805851,0.00133847,0.001734899,0.003696941,0.003546661,0.002985882,0.004801541],"category_scores_gemma":[0.009045321,0.001331097,0.001395496,0.002051877,0.001793823,0.001423374,0.001648904,0.002121574,0.0004817748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02313914,"about_ca_system_score_gemma":0.01513831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9708146,"about_ca_topic_score_gemma":0.9344833,"domain_scores_codex":[0.9987546,0.0003192413,0.00005131116,0.000243579,0.000115582,0.0005156347],"domain_scores_gemma":[0.9956547,0.002633904,0.0004400481,0.0001208378,0.0007605883,0.000389865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001654264,0.0000492803,0.0155068,0.00004201618,0.00008013252,0.0002043492,0.0002940752,0.9672902,0.0002604564,0.01131269,0.001996551,0.002797904],"study_design_scores_gemma":[0.0000194493,0.00001262198,0.005321553,0.00002062217,0.00001991432,0.00002880844,0.0002329701,0.9914751,0.00005543195,0.002230991,0.0005467399,0.00003582265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349309,0.001617727,0.04571528,0.003827935,0.0001001321,0.0001385829,0.004999401,0.0002285691,0.008441572],"genre_scores_gemma":[0.9818179,0.0005945566,0.003817467,0.0001154823,0.0000215383,0.00004793291,0.001234659,0.00006043602,0.01229009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02918541,"threshold_uncertainty_score":0.167887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009864139006464183,"score_gpt":0.2492708562344358,"score_spread":0.2394067172279717,"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."}}