{"id":"W2566265213","doi":"10.1002/ajmg.a.38050","title":"Out‐of‐pocket medical costs and third‐party healthcare costs for children with Down syndrome","year":2016,"lang":"en","type":"article","venue":"American Journal of Medical Genetics Part A","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Medicine; Demography; Total cost; Medical costs; Indirect costs; Health care; Down syndrome; Pediatrics; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005005811,0.0002931816,0.0003210947,0.001486472,0.0002714643,0.0006461334,0.0003055333,0.0003179092,0.002570418],"category_scores_gemma":[0.003208043,0.0002127486,0.001578753,0.001512995,0.0001768643,0.0005485224,0.0006751447,0.0008607137,0.0001656872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648693,"about_ca_system_score_gemma":0.000670781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0308799,"about_ca_topic_score_gemma":0.0398422,"domain_scores_codex":[0.9994411,0.0001282546,0.00008435131,0.00008912181,0.0001324639,0.0001246513],"domain_scores_gemma":[0.998659,0.0002669373,0.0007935376,0.00003890126,0.00008451931,0.0001569676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001188216,0.00002704458,0.9947616,0.00005790347,0.0001200548,0.0001878841,0.00009395874,0.0003170648,0.00004042248,0.0001916184,0.0007409404,0.003342696],"study_design_scores_gemma":[0.000007323855,0.00003995401,0.9982958,0.0000366475,0.00005072682,0.0004171523,0.0001359624,0.0004121168,0.00003194072,0.00007874794,0.0004875142,0.000006054902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920577,0.001115176,0.00006482186,0.0001785724,0.00001361745,0.00001077014,0.005725349,0.000003578869,0.0008304839],"genre_scores_gemma":[0.99415,0.0009643753,0.0001957434,0.00005377017,0.00001728729,0.0000263622,0.004240416,0.000003443557,0.0003485994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0308799,"threshold_uncertainty_score":0.06140029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478588270105368,"score_gpt":0.3031266732304922,"score_spread":0.2883407905294386,"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."}}