{"id":"W4281784124","doi":"10.3389/fphy.2022.882314","title":"Assessing the Risk of Spatial Spreading of Diseases in Hospitals","year":2022,"lang":"en","type":"article","venue":"Frontiers in Physics","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; China Scholarship Council; Canadian Institutes of Health Research; Gobierno de Aragón; Banco Santander","keywords":"Transmission (telecommunications); Health care; Infection control; Medicine; Medical emergency; Computer science; Intensive care medicine; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0009538275,0.0003854313,0.0002763726,0.0009536244,0.0004620333,0.0008385354,0.0007426151,0.0007436572,0.0006865283],"category_scores_gemma":[0.007242638,0.0002541775,0.0003936756,0.0007866668,0.000549628,0.0006006969,0.0007995082,0.000420069,0.0000815516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002988001,"about_ca_system_score_gemma":0.001792792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2440504,"about_ca_topic_score_gemma":0.1596916,"domain_scores_codex":[0.9995251,0.0001552518,0.00001914257,0.0001073326,0.0001004801,0.00009275744],"domain_scores_gemma":[0.9970288,0.001711333,0.000522928,0.0001803383,0.000361266,0.0001952471],"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":[0.0001157165,0.00006070717,0.2062318,0.00002639725,0.00008776356,0.0001519209,0.0001276774,0.7847279,0.0008013984,0.001997949,0.0004248581,0.005245915],"study_design_scores_gemma":[0.00001340815,0.00005330491,0.05449621,0.00001296783,0.00002336612,0.00008034108,0.000353547,0.9412177,0.000719369,0.002595387,0.0004126541,0.00002170052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913937,0.0001510964,0.00665886,0.0002512723,0.00000671878,0.00002849523,0.0004775565,0.00003661348,0.0009955623],"genre_scores_gemma":[0.9982047,0.00005264133,0.001301429,0.00001381105,0.000001916714,0.00000666776,0.0002696669,0.000002790345,0.0001463675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2440504,"threshold_uncertainty_score":0.4852598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007437751214081805,"score_gpt":0.2672829554031871,"score_spread":0.2598452041891053,"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."}}