{"id":"W4294953133","doi":"10.24095/hpcdp.42.9.01","title":"Accuracy of administrative database algorithms for autism spectrum disorder, attention-deficit/hyperactivity disorder and fetal alcohol spectrum disorder case ascertainment: a systematic review","year":2022,"lang":"en","type":"review","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Health Canada; Public Health Agency; Public Health Agency of Canada","keywords":"PsycINFO; Autism spectrum disorder; Attention deficit hyperactivity disorder; Fetal Alcohol Spectrum Disorder; MEDLINE; Fetal alcohol; Diagnosis code; Algorithm; Systematic review; Psychiatry; Clinical psychology; Neurodevelopmental disorder; Identification (biology); Medicine; Database; Autism; Psychology; Computer science; Pregnancy; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09124696,0.00178755,0.01181653,0.01577555,0.0009728938,0.005290638,0.003924076,0.002883201,0.002496658],"category_scores_gemma":[0.3614638,0.002363315,0.01536189,0.01387727,0.001715332,0.00524459,0.002986718,0.001756331,0.0002811224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008123291,"about_ca_system_score_gemma":0.01902531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01655738,"about_ca_topic_score_gemma":0.02767098,"domain_scores_codex":[0.8624243,0.0590303,0.05424656,0.006302973,0.01690354,0.001092363],"domain_scores_gemma":[0.5951894,0.3208086,0.05570028,0.006100647,0.02158504,0.0006159518],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004839071,0.00002801234,0.007154362,0.928883,0.02505946,0.00004834097,0.0004183654,0.0002170247,0.00006463082,0.0003185053,0.001101645,0.03622275],"study_design_scores_gemma":[0.0006898469,0.0003411862,0.01391714,0.8662359,0.1105815,0.0002548462,0.0004710479,0.0003808923,0.0002737649,0.0003452373,0.006430243,0.00007838441],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005278585,0.9900102,0.0007310037,0.0004599298,0.0002060575,0.001698564,0.00119853,0.00001756839,0.0003995341],"genre_scores_gemma":[0.1420794,0.8392954,0.007892932,0.001379445,0.0003200302,0.007084317,0.001775185,0.0000298346,0.0001434512],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.908753,"threshold_uncertainty_score":0.4825658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06103150051116476,"score_gpt":0.3894656700798929,"score_spread":0.3284341695687281,"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."}}