{"id":"W4410478110","doi":"10.24920/004456","title":"Global Research of Medical Technology Management: A Bibliometric Analysis","year":2025,"lang":"en","type":"article","venue":"Chinese Medical Sciences Journal","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Library 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.04283133,0.0001313949,0.0005709713,0.06941473,0.002396869,0.00003062892,0.002633935,0.0007145502,0.005729329],"category_scores_gemma":[0.01663188,0.00007997882,0.0001836562,0.4820239,0.002177375,0.0001288875,0.001025613,0.002537208,0.00005559965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530614,"about_ca_system_score_gemma":0.003019438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004666827,"about_ca_topic_score_gemma":0.001169444,"domain_scores_codex":[0.9891139,0.002201463,0.001378855,0.0003733531,0.005927227,0.001005195],"domain_scores_gemma":[0.9956216,0.002383908,0.0002681715,0.0003396129,0.0005935715,0.0007931223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002023293,0.0001064239,0.8079476,0.0002584739,0.0001777005,0.0001060834,0.0001715342,0.000006197032,1.495186e-7,0.1017038,0.00360913,0.0858927],"study_design_scores_gemma":[0.001124452,0.0001829867,0.7482499,0.001045366,0.00009310698,0.00004631491,0.004491299,0.003335479,3.664165e-7,0.2303802,0.01093285,0.0001176399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7483142,0.003411568,0.006268236,0.2003013,0.001484129,0.0002800702,0.000009582494,0.00004921604,0.03988166],"genre_scores_gemma":[0.993896,0.0035603,0.0004733522,0.001392083,0.0002886613,0.00002141771,0.000001884338,0.000002838396,0.0003634577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4126092,"threshold_uncertainty_score":0.999764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2261841039996342,"score_gpt":0.639084480899158,"score_spread":0.4129003768995239,"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."}}