{"id":"W4286005441","doi":"10.3390/healthcare10071344","title":"Palliative Care Landscape in the COVID-19 Era: Bibliometric Analysis of Global Research","year":2022,"lang":"en","type":"review","venue":"Healthcare","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Bibliometrics; Geography; MEDLINE; Data science; Library science; Medicine; Virology; Political science; Computer science; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","research_integrity"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.00475432,0.0004888097,0.003706511,0.08718473,0.000440679,0.00004678242,0.000819245,0.0005994986,0.0007690814],"category_scores_gemma":[0.005993928,0.000331339,0.001120392,0.4558618,0.0001422405,0.0000460159,0.0002968985,0.002959799,0.00002115151],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006360749,"about_ca_system_score_gemma":0.02128477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03235207,"about_ca_topic_score_gemma":0.02558792,"domain_scores_codex":[0.9898381,0.004098402,0.001524554,0.0009557907,0.002449223,0.001133965],"domain_scores_gemma":[0.9905191,0.005616065,0.0006169025,0.001545292,0.0007193349,0.0009832892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009862158,0.0001399164,0.1222995,0.1353273,0.0006442528,0.0004366162,0.003626257,0.000003965828,2.502055e-9,0.0004931974,0.003877803,0.7330526],"study_design_scores_gemma":[0.0005087452,0.0007335682,0.07893796,0.002362364,0.00204549,0.00003003625,0.005200738,0.000005257918,4.872045e-9,0.00004935032,0.9099106,0.0002159507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000291625,0.9818624,0.000003391574,0.01132613,0.0001640875,0.003298092,0.002258998,0.00004477361,0.0007505346],"genre_scores_gemma":[0.01259908,0.9792681,0.00002299153,0.005207096,0.0002114873,0.0005369229,0.002080203,0.00004479546,0.00002927547],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9060327,"threshold_uncertainty_score":0.9999139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5772567086993374,"score_gpt":0.6295568492844297,"score_spread":0.05230014058509225,"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."}}