{"id":"W2752360491","doi":"10.1016/j.ridd.2017.07.019","title":"Needles in the haystack: Using open-text fields to identify persons with intellectual and developmental disabilities in administrative home care data","year":2017,"lang":"en","type":"article","venue":"Research in Developmental Disabilities","topic":"Down syndrome and intellectual disability research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Lakehead University","funders":"Ontario Ministry of Community and Social Services; Public Health Agency; Lakehead University","keywords":"Haystack; Intellectual disability; Psychology; Psychiatry; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003214478,0.0003847994,0.0006716007,0.0005802497,0.0007638922,0.001235462,0.002480885,0.0001702993,0.001378305],"category_scores_gemma":[0.01511591,0.000278625,0.00004316033,0.0008552768,0.00354477,0.001269377,0.00378075,0.001185971,0.0001682711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558378,"about_ca_system_score_gemma":0.002111986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007331388,"about_ca_topic_score_gemma":0.03211233,"domain_scores_codex":[0.9949062,0.0006988636,0.000703511,0.00115274,0.00135151,0.001187184],"domain_scores_gemma":[0.994532,0.00369716,0.00003629085,0.001236382,0.0001894012,0.0003087904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001280133,0.0005872221,0.6611522,0.0006349073,0.00004514127,0.00004004239,0.3308595,0.000001739615,0.0001806847,0.0001558381,0.002265664,0.00279686],"study_design_scores_gemma":[0.001249734,0.0006451993,0.2633898,0.001000678,0.000005248716,0.0001853353,0.7316234,0.00008174121,0.0002814652,0.0004190898,0.0008004293,0.0003178986],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613978,0.0001929085,0.000004467308,0.001871419,0.00004122261,0.002789541,0.0001446598,0.00001303708,0.03354494],"genre_scores_gemma":[0.9967303,0.00008226502,0.001149159,0.0000979449,0.0000349917,0.0004049828,0.000118409,0.00003850159,0.0013435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4007638,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5123620761193027,"score_gpt":0.5126054504574392,"score_spread":0.0002433743381364817,"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."}}