{"id":"W4401263396","doi":"10.2174/1570159x22666240730154834","title":"Bibliometric Analysis of Alzheimer's Disease and Depression","year":2024,"lang":"en","type":"article","venue":"Current Neuropharmacology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Depression (economics); Dementia; Bibliometrics; Disease; Web of science; Gerontology; Psychology; Cognitive decline; Medicine; Psychiatry; Library science; Meta-analysis; Computer science; Pathology","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":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0001380852,0.00009445391,0.0002339572,0.04801353,0.00002796529,0.00001866601,0.00004905565,0.00001957706,0.0008650162],"category_scores_gemma":[0.00009801374,0.00007456989,0.0001323131,0.05955559,0.0001008744,0.00005891476,0.0001068045,0.0001756489,0.0000245309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007865164,"about_ca_system_score_gemma":0.00007119917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001520864,"about_ca_topic_score_gemma":6.880474e-8,"domain_scores_codex":[0.9989674,0.00009657834,0.0001862466,0.0003033003,0.0002537049,0.0001927461],"domain_scores_gemma":[0.9993256,0.0001676139,0.00002787945,0.00009848356,0.000114057,0.0002663913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002423014,0.0003594366,0.5981871,0.0003093508,0.001795801,0.0003843322,0.00002098116,0.000003462858,0.02794256,0.00002762278,0.002465381,0.3682616],"study_design_scores_gemma":[0.0005368021,0.0001348404,0.971258,0.00003670309,0.01097197,0.000005537667,0.000003075187,0.007100832,0.003737613,0.000009886268,0.006146481,0.00005824156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446396,0.05398832,0.0000879881,0.0001925819,0.0005410843,0.0002622762,0.00002600073,0.00004309074,0.0002191116],"genre_scores_gemma":[0.9939756,0.005710979,0.00000599469,0.00009886421,0.00008684112,0.00002865095,0.00003117783,0.00001060363,0.0000512405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3730709,"threshold_uncertainty_score":0.9627764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05055364719224034,"score_gpt":0.4207579374133762,"score_spread":0.3702042902211359,"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."}}