{"id":"W4389775542","doi":"10.1097/md.0000000000036709","title":"Impact of the COVID-19 pandemic on the operations of the specialty hospital department in Beijing","year":2023,"lang":"en","type":"article","venue":"Medicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Medicine; Beijing; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Specialty; Betacoronavirus; Coronavirus Infections; Medical emergency; Emergency medicine; Virology; Family medicine; China; Internal medicine; Outbreak; Infectious disease (medical specialty)","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":[0.0003368598,0.0002400244,0.0001905644,0.0006271065,0.0005594747,0.0007134801,0.0003355076,0.0003339699,0.001760656],"category_scores_gemma":[0.001014751,0.0001775288,0.0002712247,0.0009560193,0.0004158572,0.0005822692,0.001299702,0.0004080756,0.0001583985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002027901,"about_ca_system_score_gemma":0.001789608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03630072,"about_ca_topic_score_gemma":0.07959779,"domain_scores_codex":[0.9994656,0.00008824576,0.00005635967,0.00007198673,0.00008502876,0.0002326911],"domain_scores_gemma":[0.9991388,0.00005209451,0.0004018657,0.00002675868,0.00006522746,0.0003151156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002972064,0.00003375545,0.9969958,0.000009725354,0.00001961604,0.000209439,0.0002610078,0.00006886847,0.0002641313,0.0000352907,0.0001394659,0.001933348],"study_design_scores_gemma":[9.453598e-7,0.00002573442,0.9989859,0.000004653739,0.000002858461,0.00006525307,0.0006716782,0.00007145478,0.00002401809,0.000009607614,0.0001359762,0.000001803075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999249,0.00009331379,0.00001228361,0.0001389079,0.000005040672,0.000004444985,0.0001332783,0.000001334476,0.0003623738],"genre_scores_gemma":[0.9995112,0.0001220105,0.00001477305,0.00005553633,0.000006861253,0.000004116561,0.0001686031,7.003237e-7,0.0001160759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03630072,"threshold_uncertainty_score":0.07217884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307956521503942,"score_gpt":0.4491314511682926,"score_spread":0.3183357990178984,"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."}}