{"id":"W4220959483","doi":"10.1016/j.dhjo.2022.101321","title":"Fertility rates in women with intellectual and developmental disabilities in Wisconsin Medicaid","year":2022,"lang":"en","type":"article","venue":"Disability and health journal","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Population and Public Health","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; School of Medicine and Public Health, University of Wisconsin-Madison; National Institutes of Health; National Center for Advancing Translational Sciences; University of Wisconsin-Madison","keywords":"Fertility; Demography; Medicaid; Total fertility rate; Confidence interval; Medicine; Pregnancy; Birth rate; Population; Family planning; Health care; Biology; Economics; Sociology","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":[0.0006087492,0.0000857531,0.0001227388,0.001136829,0.000894029,0.0007225333,0.0003813344,0.0003677821,0.001948874],"category_scores_gemma":[0.002485501,0.0001698978,0.0003148153,0.001189786,0.0003369025,0.0004977429,0.0006559867,0.0004664975,0.0001511535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658638,"about_ca_system_score_gemma":0.001390424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.207908,"about_ca_topic_score_gemma":0.3956764,"domain_scores_codex":[0.9996657,0.00007118369,0.00003267588,0.00003523462,0.00005064338,0.0001445001],"domain_scores_gemma":[0.9991616,0.0001620258,0.0003644617,0.00002803408,0.00009538129,0.0001884218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008493155,0.00006253085,0.9952193,0.00001058177,0.00002279073,0.00007447039,0.0009010378,0.00008948694,0.000131842,0.0001691521,0.0004622345,0.002771707],"study_design_scores_gemma":[0.000004232033,0.00003992982,0.9943126,0.00001688229,0.00002380917,0.0001146786,0.004019403,0.0001799513,0.000136385,0.0000436577,0.001101782,0.000006736217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99783,0.000136341,0.00001647001,0.000210673,0.000003822662,0.000007907975,0.0007545908,0.000001981212,0.001038354],"genre_scores_gemma":[0.9983475,0.0002140061,0.00002448698,0.00008336557,0.000004888698,0.00001233523,0.0003187635,0.000001279093,0.0009933503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.207908,"threshold_uncertainty_score":0.4133956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06140131606079566,"score_gpt":0.3646911976810014,"score_spread":0.3032898816202058,"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."}}