{"id":"W4317878681","doi":"10.1370/afm.21.s1.4100","title":"Trends in ADHD Visits and Prescriptions before and during the COVID-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Medicine; Context (archaeology); Retrospective cohort study; Pandemic; Attention deficit hyperactivity disorder; Population; Cohort; Comorbidity; Residence; Family medicine; Pediatrics; Psychiatry; Coronavirus disease 2019 (COVID-19); Demography; Disease; Internal medicine; Environmental health; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004323802,0.0001788374,0.0002626645,0.001208342,0.0006739949,0.001025678,0.0007981658,0.0006582343,0.001846618],"category_scores_gemma":[0.002822312,0.0002239344,0.0006156928,0.002405379,0.0003237876,0.000641146,0.0006456108,0.0009092755,0.0002085507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006078145,"about_ca_system_score_gemma":0.005458664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7618198,"about_ca_topic_score_gemma":0.8500308,"domain_scores_codex":[0.9991431,0.00005935464,0.00009890501,0.0001686617,0.0002318579,0.0002981314],"domain_scores_gemma":[0.9975656,0.0001332682,0.001119059,0.00005958144,0.0005638928,0.0005585483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008825499,0.00001698918,0.992912,0.00008363293,0.00005101585,0.0001116131,0.000344153,0.0001395822,0.0001265948,0.0000900403,0.003311693,0.002724411],"study_design_scores_gemma":[0.000003253382,0.00001637845,0.9983357,0.00004577806,0.000009464285,0.0000835161,0.0004903759,0.0001127376,0.00002495836,0.000007546342,0.0008656682,0.000004635592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550354,0.002013219,0.0001319952,0.001844941,0.00007944386,0.00007120201,0.03674903,0.0000399377,0.004034644],"genre_scores_gemma":[0.9809583,0.001702525,0.0002008002,0.0005257788,0.00007981448,0.000058621,0.01547518,0.00001440096,0.0009845562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7618198,"threshold_uncertainty_score":0.4791658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09985574802125743,"score_gpt":0.4328675875010394,"score_spread":0.333011839479782,"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."}}