{"id":"W4310638958","doi":"10.1111/jgh.16081","title":"A bibliometric and visualized analysis of liver fibrosis from 2002 to 2022","year":2022,"lang":"en","type":"review","venue":"Journal of Gastroenterology and Hepatology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Cirrhosis; Liver fibrosis; Bibliometrics; Hepatology; Fibrosis; Hepatocellular carcinoma; Pharmacy; Web of science; Internal medicine; Pathological; Pathology; Bioinformatics; Family medicine; Meta-analysis; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004096887,0.0006620637,0.001172423,0.1643534,0.001190094,0.003409284,0.0006217894,0.0005877317,0.006003931],"category_scores_gemma":[0.02717073,0.0002017063,0.00156918,0.1961813,0.0005935613,0.002571325,0.00145223,0.0003974411,0.001263435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003256512,"about_ca_system_score_gemma":0.003130714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01444873,"about_ca_topic_score_gemma":0.01277454,"domain_scores_codex":[0.992058,0.00123595,0.001562603,0.0006494329,0.004139675,0.000354352],"domain_scores_gemma":[0.9706702,0.01340867,0.006053941,0.000836724,0.008450557,0.0005798438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006054442,0.0002176374,0.5070102,0.02007143,0.002119251,0.001912419,0.006315179,0.007307402,0.002859504,0.009632123,0.05321929,0.3887302],"study_design_scores_gemma":[0.00004397019,0.0002002365,0.8785344,0.002149461,0.001127221,0.00199881,0.004984356,0.008992681,0.001527897,0.003038934,0.09727913,0.0001228892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6433477,0.04508991,0.004077658,0.002362204,0.0003583314,0.0006477019,0.2456406,0.001319324,0.05715657],"genre_scores_gemma":[0.9144679,0.01349707,0.005167581,0.0001082554,0.0003154608,0.000525196,0.06143672,0.0001099573,0.004371907],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8356466,"threshold_uncertainty_score":0.02872926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04886608590522549,"score_gpt":0.3603365458821354,"score_spread":0.3114704599769099,"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."}}