{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0007390562,0.0005617648,0.003668767,0.0511675,0.0003627837,0.00009914771,0.0002206505,0.0005745813,0.0000565045],"category_scores_gemma":[0.001506296,0.0003970292,0.0007182308,0.1399594,0.0001977969,0.00008725051,0.0001901173,0.0005076767,0.00001881196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123294,"about_ca_system_score_gemma":0.002436713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234266,"about_ca_topic_score_gemma":0.0004971579,"domain_scores_codex":[0.9957984,0.0005552109,0.001091893,0.001126333,0.0007414111,0.0006867632],"domain_scores_gemma":[0.9962264,0.001031139,0.0002551835,0.0008790522,0.001059182,0.0005490582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009106191,0.0001008954,0.02595291,0.4060965,0.00186318,9.45887e-7,0.0006132621,7.314848e-8,4.440345e-9,0.0003650179,0.0003275267,0.5645885],"study_design_scores_gemma":[0.005394471,0.01778991,0.02771447,0.3548636,0.06837141,0.001072312,0.02433001,0.0002156095,0.000003476333,0.0001503104,0.4965346,0.003559843],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003789409,0.9882719,0.0004756642,0.0004997202,0.00006234202,0.00797353,0.001985734,0.0001447773,0.0002074266],"genre_scores_gemma":[0.007051747,0.9851523,0.00009683824,0.0001502242,0.0001407931,0.001212896,0.005440779,0.00007749641,0.0006769213],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5610287,"threshold_uncertainty_score":0.9998482,"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."}}