{"id":"W3020649518","doi":"10.1101/2020.04.20.20073080","title":"Evaluating the contributions of strategies to prevent SARS-CoV-2 transmission in the healthcare setting: a modelling study","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"National Institute of General Medical Sciences; National Institutes of Health; La Trobe University","keywords":"Health care; Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Business; Computer science; Medicine; Telecommunications; Economics; Disease; Internal medicine; Economic growth","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":[0.002653458,0.001565966,0.001223637,0.001240902,0.0007387365,0.001845403,0.002109332,0.002806824,0.003520084],"category_scores_gemma":[0.00867264,0.0005570318,0.00251054,0.0007113988,0.0008524643,0.001265461,0.001538294,0.001496603,0.0002740638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003177024,"about_ca_system_score_gemma":0.003353022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04004712,"about_ca_topic_score_gemma":0.02117108,"domain_scores_codex":[0.9985809,0.000860651,0.00005380834,0.0001452292,0.00008869939,0.0002706881],"domain_scores_gemma":[0.989537,0.008185918,0.0008954733,0.0002331935,0.000671678,0.0004767055],"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":[0.0001382307,0.0002011939,0.004610717,0.00008064045,0.00009229035,0.0001073187,0.00005624427,0.9903333,0.0002916519,0.001882225,0.0002985514,0.001907628],"study_design_scores_gemma":[0.00008029257,0.000429582,0.001358898,0.00003718266,0.00009045548,0.00003199042,0.0001894041,0.9953218,0.0001715321,0.001767995,0.0004972609,0.00002356699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618981,0.001120511,0.02151724,0.001585535,0.0001037243,0.0003685518,0.001052748,0.00009636048,0.01225717],"genre_scores_gemma":[0.9891635,0.0005232345,0.007595749,0.0001717225,0.00003373357,0.0002383662,0.0003103845,0.00002017996,0.001943191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04004712,"threshold_uncertainty_score":0.07962799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5514399041099255,"score_gpt":0.5470957615460946,"score_spread":0.004344142563830866,"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."}}