{"id":"W4406144081","doi":"10.1001/jamanetworkopen.2024.52789","title":"Mental Health Care Utilization and Prescription Rates Among Children, Adolescents, and Young Adults in France","year":2025,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Institutes of Health; Research Executive Agency; National Institute for Health and Care Research","keywords":"Medicine; Medical prescription; Poisson regression; Mental health; Population; Demography; Health care; Pandemic; Young adult; Psychiatry; Gerontology; Environmental health; Coronavirus disease 2019 (COVID-19)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164984,0.0001196092,0.0001931407,0.00005766484,0.0001827543,0.00008200194,0.0001349374,0.00009328394,0.00002082843],"category_scores_gemma":[0.000007462703,0.0001238082,0.00001235752,0.0002088446,0.00004381303,0.0002135882,0.0001790395,0.0001558348,0.000003161018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001522856,"about_ca_system_score_gemma":0.0000797039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229399,"about_ca_topic_score_gemma":0.009843268,"domain_scores_codex":[0.998765,0.0002268831,0.0002567521,0.0003904811,0.0000691247,0.0002917736],"domain_scores_gemma":[0.9996235,0.00001752844,0.00009173503,0.0001666594,0.00001761056,0.00008292727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002900847,0.00005515346,0.8647745,0.0001591985,0.000008839194,8.546709e-7,0.005217374,0.000003950003,4.163792e-7,0.00045617,0.005548398,0.123485],"study_design_scores_gemma":[0.002718175,0.0000913705,0.9892305,0.001312473,0.000004151991,0.000002356251,0.001561922,0.0002209428,0.000001978039,0.00005513961,0.004707235,0.00009372797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527216,0.04166534,0.00003954763,0.001189366,0.000737915,0.001997256,0.00002398557,0.00002300671,0.001601962],"genre_scores_gemma":[0.9927533,0.004076673,0.00005033512,0.002275722,0.0001039868,0.0000715852,0.0001414418,0.00001097296,0.0005160077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.124456,"threshold_uncertainty_score":0.9942833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958826360428121,"score_gpt":0.3659242276860629,"score_spread":0.3463359640817817,"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."}}