{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01562126,0.0007620731,0.002185465,0.1733883,0.001417324,0.008273883,0.0008766919,0.0008179293,0.004073932],"category_scores_gemma":[0.06167443,0.0003462049,0.002079183,0.2498605,0.001256644,0.006287196,0.003087529,0.0005155492,0.0008119978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003250295,"about_ca_system_score_gemma":0.006054305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005154535,"about_ca_topic_score_gemma":0.004162303,"domain_scores_codex":[0.9830124,0.004347411,0.002951521,0.001251696,0.007870643,0.000566342],"domain_scores_gemma":[0.9560105,0.02781285,0.006066285,0.00179528,0.007741373,0.0005737657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003090368,0.0001989068,0.474913,0.02319493,0.00327856,0.0007391249,0.007582388,0.006140996,0.002774433,0.01953722,0.01975908,0.4415724],"study_design_scores_gemma":[0.0001517593,0.0005631518,0.8103809,0.006787138,0.003111546,0.001394911,0.01817418,0.02412828,0.003067075,0.01769423,0.1143129,0.0002338818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7533189,0.07560073,0.02452964,0.008900572,0.0003700875,0.002848767,0.06671469,0.0008485277,0.06686823],"genre_scores_gemma":[0.9291978,0.02859606,0.0232501,0.0002467635,0.0005446,0.001574836,0.0147951,0.0001202567,0.001674464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8266116,"threshold_uncertainty_score":0.08261412,"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."}}