{"id":"W4413480749","doi":"10.3390/healthcare13172106","title":"Inclusive Healthcare System for Children with Disabilities: A Bibliometric Analysis and Visualization","year":2025,"lang":"en","type":"review","venue":"Healthcare","topic":"Down syndrome and intellectual disability research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Education, Audiovisual and Culture Executive Agency","keywords":"Visualization; Health care; Healthcare system; Inclusion (mineral); Computer science; Psychology; Data science; Political science; Artificial intelligence; Social psychology","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":"review","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":"review","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":[0.01136627,0.001026985,0.002131284,0.2047252,0.001856421,0.009250468,0.001115746,0.00103703,0.005054339],"category_scores_gemma":[0.06531654,0.0003941198,0.00326133,0.2395571,0.001061377,0.004592381,0.004094637,0.0006120883,0.0006759034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003838222,"about_ca_system_score_gemma":0.00750105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009269397,"about_ca_topic_score_gemma":0.006442097,"domain_scores_codex":[0.9893603,0.002736536,0.002807503,0.001089495,0.0034507,0.00055544],"domain_scores_gemma":[0.935995,0.04551025,0.008202867,0.001888668,0.007596997,0.0008062173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004406417,0.0002534833,0.4697452,0.04474469,0.003882895,0.001594551,0.01707371,0.006452685,0.002095731,0.01918638,0.03475488,0.3997752],"study_design_scores_gemma":[0.0001693342,0.0003538395,0.7339718,0.01500055,0.006076897,0.002687536,0.03579721,0.02909013,0.002228311,0.02401101,0.1502362,0.0003772206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7194809,0.06615093,0.01752569,0.008880208,0.0003851878,0.003467019,0.1343535,0.002090277,0.04766634],"genre_scores_gemma":[0.9107118,0.02327026,0.03269142,0.0001891784,0.0002298507,0.001944843,0.02908741,0.0001228337,0.001752422],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7952748,"threshold_uncertainty_score":0.06011128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08176043162340335,"score_gpt":0.4643386642799284,"score_spread":0.382578232656525,"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."}}