{"id":"W4367308564","doi":"10.1007/s11739-023-03285-w","title":"Measuring surge capacity: preparing for the unexpected","year":2023,"lang":"en","type":"letter","venue":"Internal and Emergency Medicine","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Columbia College; McGill University","funders":"","keywords":"Medicine; Surge Capacity; Surge; MEDLINE; Coronavirus disease 2019 (COVID-19); Internal medicine; Meteorology","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":[0.005632364,0.0007021551,0.000936724,0.0009437806,0.008139112,0.005703265,0.002156117,0.06808155,0.006592198],"category_scores_gemma":[0.03636646,0.0009172855,0.0009247005,0.0008564954,0.0033342,0.004997372,0.002736435,0.04662998,0.004681563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005678143,"about_ca_system_score_gemma":0.01384993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01736241,"about_ca_topic_score_gemma":0.02946197,"domain_scores_codex":[0.9932766,0.002585863,0.0008662796,0.0005947942,0.001393784,0.001282694],"domain_scores_gemma":[0.9764897,0.01105314,0.001373901,0.0005162635,0.003908374,0.00665856],"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":[0.00004139452,0.00005977975,0.004189022,0.00005577376,0.00001433107,0.005330144,0.0006673994,0.00008479789,0.0003526116,0.003345891,0.9732527,0.01260617],"study_design_scores_gemma":[0.0001363057,0.0002339509,0.009753287,0.001180307,0.00006272177,0.0110108,0.009740514,0.002225033,0.0007839591,0.03043387,0.9342276,0.0002116111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006059858,0.000268161,0.0001093964,0.9920465,0.004422636,0.00001046569,0.00002081835,0.00001897873,0.002497136],"genre_scores_gemma":[0.009164603,0.0006144743,0.0006204364,0.9679679,0.01641586,0.00004696023,0.00002148684,0.00003782476,0.005110445],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06808155,"threshold_uncertainty_score":0.04119802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2197344784087185,"score_gpt":0.3778727555116586,"score_spread":0.1581382771029401,"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."}}