{"id":"W4385163285","doi":"10.58600/eurjther1672","title":"Bibliometric and Visual Analysis of Palliative Nutrition Research Based on Web of Science","year":2023,"lang":"en","type":"article","venue":"European Journal of Therapeutics","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Palliative care; Web of science; China; Bibliometrics; Medicine; MEDLINE; Library science; Geography; Political science; Meta-analysis; Computer science; Nursing; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01029326,0.0009530509,0.002189965,0.2337183,0.001242333,0.0058244,0.001073213,0.0006511403,0.0132124],"category_scores_gemma":[0.0651508,0.0002918444,0.002086348,0.2290802,0.0008385993,0.003123191,0.002498168,0.0006441548,0.001846777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002648653,"about_ca_system_score_gemma":0.005163921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005779706,"about_ca_topic_score_gemma":0.005719751,"domain_scores_codex":[0.9788452,0.004214138,0.004218891,0.001211858,0.01096673,0.0005432377],"domain_scores_gemma":[0.9374779,0.03740491,0.01026109,0.001881022,0.01220379,0.0007712423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000601711,0.0003734171,0.2129174,0.05313962,0.002698192,0.001185055,0.007248166,0.005200895,0.003457256,0.02051985,0.08708837,0.6055701],"study_design_scores_gemma":[0.0001762313,0.0003003358,0.7113726,0.007913363,0.002631589,0.001835979,0.008390974,0.01946526,0.003306729,0.01902145,0.2252568,0.0003287098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4514512,0.05258507,0.02495382,0.004453552,0.0009974192,0.005009209,0.3143421,0.005841159,0.1403664],"genre_scores_gemma":[0.8207573,0.02438877,0.04833204,0.0002457599,0.0007588856,0.005773851,0.09176505,0.0004472859,0.007531116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7662817,"threshold_uncertainty_score":0.05443662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3768796125086878,"score_gpt":0.5276673618700819,"score_spread":0.1507877493613941,"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."}}