{"id":"W4406399673","doi":"10.2174/0118715303325060241211094931","title":"Global Publication Trends and Research Hotspots of Diabetes and Osteoporosis","year":2025,"lang":"en","type":"article","venue":"Endocrine Metabolic & Immune Disorders - Drug Targets","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diabetes mellitus; Osteoporosis; Medicine; Data science; Computer science; Internal medicine; Endocrinology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001311054,0.0002788634,0.0008201659,0.001086581,0.0003118921,0.00006348791,0.0002224909,0.00008686722,0.0001801497],"category_scores_gemma":[0.001075514,0.0002497424,0.0001289879,0.002622119,0.0005787293,0.0002248415,0.0004039264,0.000449148,0.000007854786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005277433,"about_ca_system_score_gemma":0.0002838945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00147604,"about_ca_topic_score_gemma":0.0002155893,"domain_scores_codex":[0.9966736,0.0003406991,0.0007198722,0.0005993983,0.0006893556,0.0009771191],"domain_scores_gemma":[0.9981536,0.0002449096,0.000131969,0.0006090078,0.0005443792,0.0003161493],"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":[0.000296365,0.0006391063,0.4460189,0.0007360548,0.0002251834,0.000002844812,0.0007536526,7.031083e-7,0.004980885,0.004476755,0.009739546,0.53213],"study_design_scores_gemma":[0.003436398,0.0001677569,0.9274694,0.00009369115,0.00009428461,0.000004743283,0.0008478949,0.0001218844,0.005343319,0.0009962999,0.06125501,0.0001693033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8405408,0.1238927,0.000007764406,0.02395261,0.0001599884,0.0006961221,0.00004747211,0.00006572836,0.01063686],"genre_scores_gemma":[0.9847198,0.00981096,0.0004390651,0.0002884511,0.0000410196,0.0001888436,0.0001204402,0.00002524377,0.004366208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5319607,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309416662223603,"score_gpt":0.3455459425000265,"score_spread":0.3324517758777905,"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."}}