{"id":"W4403953320","doi":"10.1089/jicm.2024.0855","title":"Mapping the Research Landscape: The Rise of Bibliometric Analysis in Integrative Medicine","year":2024,"lang":"en","type":"editorial","venue":"Journal of Integrative and Complementary Medicine","topic":"Complementary and Alternative Medicine Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Integrative medicine; Bibliometrics; Geography; Data science; Library science; Medicine; Computer science; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03502188,0.004344801,0.007623007,0.02414313,0.004720963,0.02389263,0.006579569,0.01561676,0.006857666],"category_scores_gemma":[0.1588193,0.001968466,0.003988755,0.01225183,0.00679432,0.01072786,0.003748033,0.0209955,0.004561082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005484235,"about_ca_system_score_gemma":0.007173445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002708422,"about_ca_topic_score_gemma":0.007992795,"domain_scores_codex":[0.9734062,0.007454102,0.003923421,0.00184482,0.01277119,0.0006003996],"domain_scores_gemma":[0.712546,0.2041901,0.007518689,0.003894968,0.06234263,0.009507636],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004271718,0.00001915323,0.00008957249,0.001531368,0.0001288041,0.00009767286,0.00008241117,0.00004800212,0.00006876465,0.0006736256,0.9818823,0.01533571],"study_design_scores_gemma":[0.0001577266,0.00006904588,0.001283233,0.005354767,0.0005946751,0.0006457868,0.0004730611,0.0008980619,0.0002941313,0.008239649,0.9818568,0.000133095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005080611,0.01646347,0.0003517131,0.03654502,0.9459256,0.00002516603,0.00006833574,0.00006577132,0.0005041559],"genre_scores_gemma":[0.0004641309,0.01255011,0.00033093,0.009413009,0.9760181,0.00002869539,0.00002877923,0.00004681502,0.001119408],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9758569,"threshold_uncertainty_score":0.1852156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290910394567975,"score_gpt":0.4507094651258078,"score_spread":0.3216184256690103,"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."}}