{"id":"W6963891123","doi":"10.22034/ijism.2023.1977996.0","title":"Bibliometric Analysis and Visualization of Scientific Publications of Iran University of Medical Sciences during 1980-2020","year":2024,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Ophthalmology and Visual Health Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bibliometrics; Visualization; Information visualization; Data visualization; Web of science; Population; Citation; Scopus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006145928,0.0006898761,0.00093885,0.0823955,0.0007402467,0.003894188,0.0005618256,0.0004965106,0.003254096],"category_scores_gemma":[0.03587363,0.0001771849,0.001428021,0.1101332,0.000440537,0.002704846,0.001596338,0.0005298927,0.0008304933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002383703,"about_ca_system_score_gemma":0.003712611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009765719,"about_ca_topic_score_gemma":0.007493599,"domain_scores_codex":[0.99366,0.001190528,0.00094197,0.0004348739,0.003383559,0.0003891883],"domain_scores_gemma":[0.9812155,0.008047857,0.004887208,0.0006594171,0.004728283,0.0004616443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004013417,0.0001357158,0.5801092,0.004008441,0.001203718,0.0004347177,0.004008338,0.00719374,0.001448062,0.009240946,0.02322372,0.3685921],"study_design_scores_gemma":[0.00005467419,0.0001687291,0.8992152,0.001170203,0.0007746298,0.0009361898,0.00609576,0.01338435,0.001957022,0.005001898,0.07112498,0.0001163869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.832772,0.03236584,0.007660902,0.003854339,0.0004160168,0.0004131019,0.05576378,0.001289076,0.06546492],"genre_scores_gemma":[0.9645546,0.008975742,0.006763493,0.0000812519,0.0002391458,0.0003459576,0.01667392,0.00007815424,0.002287728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9176045,"threshold_uncertainty_score":0.03250313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5254124890958658,"score_gpt":0.6705567993968441,"score_spread":0.1451443103009783,"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."}}