{"id":"W2482395731","doi":"10.1016/bs.irrdd.2015.04.002","title":"Health Surveillance and People with Intellectual Disabilities","year":2015,"lang":"en","type":"article","venue":"International review of research in developmental disabilities","topic":"Down syndrome and intellectual disability research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Institutes of Health","keywords":"Intellectual disability; Health surveillance; Sampling frame; Linkage (software); Cognitive disabilities; Population; Psychology; Cognition; Medicine; Gerontology; Environmental health; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004002462,0.0001895327,0.0006932823,0.000334538,0.00005622984,0.00003910758,0.0003043297,0.0000471825,0.001702084],"category_scores_gemma":[0.02457248,0.0001405383,0.00006840964,0.0008253203,0.001738507,0.0002269282,0.0003392176,0.0004237361,0.0001820548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031172,"about_ca_system_score_gemma":0.001427535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008647049,"about_ca_topic_score_gemma":0.0005997911,"domain_scores_codex":[0.9959909,0.0004368796,0.000736461,0.0004493889,0.00188842,0.0004979863],"domain_scores_gemma":[0.9957829,0.002558507,0.00004851206,0.0002842233,0.0009527487,0.0003730708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007666678,0.0006529425,0.9221748,0.01529612,0.0001000987,0.000002293914,0.01282815,5.82572e-7,0.00001239335,0.00145339,0.03282386,0.01388871],"study_design_scores_gemma":[0.005805211,0.007819402,0.4421504,0.07382873,0.00001654512,0.001944195,0.3026425,0.0002496435,0.0006152679,0.007984433,0.1558244,0.001119301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8992231,0.01650076,0.00001361056,0.01901769,0.00009330437,0.001552273,0.00005446027,0.00003301002,0.06351175],"genre_scores_gemma":[0.9756314,0.02009764,0.0007152759,0.0002828664,0.00003620148,0.0002067971,0.00008838666,0.00002202018,0.002919434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4800244,"threshold_uncertainty_score":0.9992105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1693780074780714,"score_gpt":0.438121584343891,"score_spread":0.2687435768658196,"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."}}