{"id":"W3017825445","doi":"10.1503/cmaj.75334","title":"COVID Towers: low- and medium-intensity care for patients not in the ICU","year":2020,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Statement (logic); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Medicine; Intensive care; Intensive care medicine; Disease; Virology; Political science; Infectious disease (medical specialty); Outbreak; Pathology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001384717,0.0004257876,0.0005536497,0.0004428118,0.00645291,0.002833839,0.001102986,0.02596295,0.008587641],"category_scores_gemma":[0.01058946,0.0003200053,0.0006158231,0.0004204562,0.002589709,0.002558563,0.00207256,0.01947723,0.002449604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004912689,"about_ca_system_score_gemma":0.009106423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133042,"about_ca_topic_score_gemma":0.07386582,"domain_scores_codex":[0.9982699,0.0004060423,0.0001699361,0.0002093865,0.0003862474,0.0005584381],"domain_scores_gemma":[0.9946117,0.001189437,0.0004082257,0.00008977429,0.0006139226,0.003086947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004216535,0.00005589364,0.003784078,0.00004122671,0.000007908964,0.003315771,0.0003383335,0.00003085386,0.0002634033,0.002563949,0.9799936,0.009562842],"study_design_scores_gemma":[0.0001636202,0.0002358064,0.01811935,0.001392334,0.00003480181,0.007892968,0.005381956,0.0004981288,0.0003201775,0.01262025,0.9532094,0.0001312623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00127111,0.0005652042,0.00004384032,0.9852446,0.008178697,0.000007145899,0.00002488656,0.000009126844,0.004655359],"genre_scores_gemma":[0.01617445,0.0008399913,0.0001820252,0.9500889,0.02810363,0.00002120112,0.00002789574,0.00001674018,0.004545153],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02596295,"threshold_uncertainty_score":0.04241252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612525830893722,"score_gpt":0.3088379229374399,"score_spread":0.2827126646285026,"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."}}