{"id":"W6976347620","doi":"10.60692/09n5e-amd09","title":"Bibliometric Analysis of Literature on Acute Respiratory Distress Syndrome Treatments Published Between 2000 and 2019","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ARDS; Acute respiratory distress; Bibliometrics; Extracorporeal membrane oxygenation; Modalities; Web of science; MEDLINE; Science Citation Index","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009406886,0.001368436,0.004746046,0.226491,0.001449347,0.004491757,0.001530008,0.001228123,0.006462844],"category_scores_gemma":[0.0756207,0.0005728755,0.00501909,0.259811,0.001062421,0.003228436,0.002824159,0.0007358519,0.001154526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003766283,"about_ca_system_score_gemma":0.007154631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008280262,"about_ca_topic_score_gemma":0.009959303,"domain_scores_codex":[0.9778921,0.003088615,0.009029324,0.002065339,0.007119959,0.0008046309],"domain_scores_gemma":[0.901337,0.05673471,0.02442556,0.001897177,0.01418487,0.001420745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001544671,0.0001965292,0.3909917,0.3435206,0.01956557,0.00271229,0.003815142,0.003030202,0.002817206,0.003035942,0.03199735,0.1967728],"study_design_scores_gemma":[0.0002722842,0.0004140133,0.8178514,0.05016235,0.02755432,0.004255663,0.006074596,0.002657878,0.001793265,0.002748939,0.0859815,0.0002338672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2900324,0.4532559,0.001483057,0.00295694,0.0005191935,0.001029271,0.2394697,0.000437631,0.01081598],"genre_scores_gemma":[0.6481525,0.2360276,0.004512083,0.0006156863,0.0007279194,0.002118337,0.1060565,0.0001214932,0.001667815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.773509,"threshold_uncertainty_score":0.04974896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03750854387915369,"score_gpt":0.2535730064098743,"score_spread":0.2160644625307206,"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."}}