{"id":"W3194747632","doi":"10.24938/kutfd.916560","title":"INVESTIGATION OF THE GLOBAL OUTCOMES OF ACUTE RESPIRATORY DISTRESS SYNDROME WITH THE EFFECT OF COVID-19 IN PUBLICATIONS: A BIBLIOMETRIC ANALYSIS BETWEEN 1980 AND 2020","year":2021,"lang":"en","type":"article","venue":"Kırıkkale Üniversitesi Tıp Fakültesi Dergisi","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ARDS; Medicine; Coronavirus disease 2019 (COVID-19); Acute respiratory distress; Bibliometrics; Pandemic; Web of science; MEDLINE; Meta-analysis; Family medicine; Internal medicine; Library science; Political science; Lung; Computer science","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01343535,0.0009851251,0.002983175,0.1363761,0.001037135,0.004999565,0.001124914,0.0009516363,0.003732295],"category_scores_gemma":[0.0629853,0.0004275499,0.004277177,0.1608361,0.001210624,0.004275206,0.002981054,0.0006367402,0.0005741926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003069052,"about_ca_system_score_gemma":0.004239968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003761513,"about_ca_topic_score_gemma":0.004295778,"domain_scores_codex":[0.9819002,0.003173177,0.005645379,0.001579811,0.007065366,0.0006360355],"domain_scores_gemma":[0.9140047,0.04969607,0.02016603,0.001751743,0.01320027,0.001181193],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008191529,0.0001507339,0.6520928,0.1140739,0.01154084,0.001257192,0.004684106,0.001748557,0.001326247,0.002790957,0.009286708,0.2002288],"study_design_scores_gemma":[0.0001041027,0.0003442589,0.912193,0.02264031,0.0148384,0.002163765,0.006906033,0.002030695,0.001013268,0.002326355,0.03531024,0.0001295778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4623417,0.4605309,0.002406572,0.003973536,0.0004729409,0.00105368,0.05437445,0.0002451825,0.01460105],"genre_scores_gemma":[0.8166341,0.1601718,0.003915607,0.000279274,0.0004304953,0.001015881,0.01642925,0.00005697143,0.001066675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9865646,"threshold_uncertainty_score":0.07105374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049070430150809,"score_gpt":0.2849263846439526,"score_spread":0.2644356803424446,"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."}}