{"id":"W4407984359","doi":"10.1002/jmrs.875","title":"Evaluation of New Zealand's Radiology, Nuclear Medicine, and Medical Imaging Research Output: A Bibliometric‐Based Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Radiation Sciences","topic":"Radiology practices and education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Citation; Citation impact; Analytics; Bibliometrics; Population; Impact factor; Library science; Medicine; Geography; Political science; Data science; Computer science; Business; Environmental health; Marketing","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":[0.02787483,0.0007141424,0.001614694,0.07633313,0.001146844,0.007382208,0.00134593,0.0004650468,0.004287027],"category_scores_gemma":[0.08726067,0.000274963,0.001362848,0.1217791,0.001441662,0.002958999,0.002872438,0.000482486,0.0009799373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005791341,"about_ca_system_score_gemma":0.01266805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04958315,"about_ca_topic_score_gemma":0.04141115,"domain_scores_codex":[0.967401,0.003883565,0.005135775,0.001380154,0.0215535,0.000646017],"domain_scores_gemma":[0.9098408,0.02328295,0.028531,0.003083729,0.03285509,0.002406422],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000260923,0.0001525775,0.7950496,0.007953073,0.001647965,0.0003769364,0.004692146,0.002143374,0.001822354,0.004158971,0.01156122,0.1701808],"study_design_scores_gemma":[0.00002587589,0.000182524,0.9632011,0.001035722,0.000518139,0.0002659642,0.004791237,0.002955187,0.0012283,0.0009284765,0.02479682,0.00007074874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8198488,0.0114492,0.01069578,0.004647756,0.0002343709,0.001455749,0.06091572,0.0007327433,0.09001996],"genre_scores_gemma":[0.9533454,0.006267306,0.01297613,0.0001070865,0.0002145653,0.0007894202,0.02253992,0.0001067303,0.003653575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9721252,"threshold_uncertainty_score":0.147418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2428829195810508,"score_gpt":0.5325259764213319,"score_spread":0.2896430568402811,"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."}}