{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06515656,0.00008811811,0.000407194,0.01270537,0.0001650307,0.00003424884,0.0003951172,0.0002106416,0.0005291738],"category_scores_gemma":[0.07348145,0.00005669907,0.00006125546,0.01310925,0.001407519,0.0002962138,0.00003872553,0.0006874594,0.000001833859],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339596,"about_ca_system_score_gemma":0.00628608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002313157,"about_ca_topic_score_gemma":0.00000321109,"domain_scores_codex":[0.9910738,0.001035301,0.0008057901,0.0002290338,0.006612218,0.000243886],"domain_scores_gemma":[0.9948495,0.002700332,0.0005186229,0.0001385827,0.0012446,0.0005483628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001486296,0.0002408258,0.08099157,0.00005443491,0.0000944444,0.00001162384,0.001253268,0.00007982876,0.00008365635,0.001085816,0.2611702,0.6547857],"study_design_scores_gemma":[0.01004947,0.001390266,0.4937336,0.001110243,0.0007086878,0.001328771,0.008758004,0.3967482,0.00004002684,0.003708589,0.0822815,0.0001427191],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.634114,0.01683149,0.002644483,0.340172,0.001230248,0.0002924667,5.754327e-7,0.00001041916,0.004704337],"genre_scores_gemma":[0.9922745,0.00363047,0.001159382,0.002049386,0.0008072542,0.000002462348,0.000002590933,0.000004711311,0.0000692378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.654643,"threshold_uncertainty_score":0.9993473,"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."}}