{"id":"W4384298948","doi":"10.3390/jrfm16070333","title":"The Transformation of the Healthcare Business through the COVID-19 Pandemic (2020–2021)","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Legislature; Health care; Government (linguistics); Business; 2019-20 coronavirus outbreak; Healthcare system; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public relations; Political science; Economic growth; Medicine; Virology; Economics; Law; Disease; Infectious disease (medical specialty)","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":[0.002881337,0.0002468492,0.0001295193,0.0007000957,0.002786718,0.006374119,0.0003642413,0.001953654,0.004639839],"category_scores_gemma":[0.003894819,0.0001378506,0.0002506108,0.000869073,0.003386576,0.004137448,0.004912727,0.002762837,0.0005727955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004609664,"about_ca_system_score_gemma":0.008088518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008856643,"about_ca_topic_score_gemma":0.01842946,"domain_scores_codex":[0.9982319,0.0005405246,0.00006340272,0.00007340605,0.0005223352,0.0005684318],"domain_scores_gemma":[0.9977919,0.000340903,0.0003320189,0.00005091004,0.0003463914,0.001138011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001483827,0.0003607877,0.05983234,0.0004314499,0.00004368088,0.001922041,0.01757779,0.001167671,0.002093032,0.5136168,0.1661032,0.2367028],"study_design_scores_gemma":[0.00001517392,0.0002692332,0.0983254,0.001565378,0.00001576238,0.001689805,0.05681411,0.001109648,0.0008562842,0.06353022,0.775712,0.00009712519],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2503297,0.02266919,0.004095257,0.5063043,0.003323044,0.0001103451,0.0005240914,0.00008312774,0.2125609],"genre_scores_gemma":[0.9297964,0.02016569,0.003211681,0.03686955,0.001632656,0.00005266702,0.0002103013,0.00003111808,0.0080299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008856643,"threshold_uncertainty_score":0.0334456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982947277791841,"score_gpt":0.3565030128954819,"score_spread":0.3066735401175635,"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."}}