{"id":"W3203491616","doi":"10.1186/s12874-021-01392-w","title":"Can the adverse childhood experiences (ACEs) checklist be utilized to predict emergency department visits among children and adolescents?","year":2021,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Child Abuse and Trauma","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Alberta Innovates; Alberta Innovates - Health Solutions; Alberta Health Services","keywords":"Medicine; Mental health; Checklist; Emergency department; Population; Logistic regression; Adolescent health; Suicidal ideation; Psychiatry; Poison control; Suicide prevention; Emergency medicine; Psychology; Environmental health; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00516419,0.0005554217,0.0005109123,0.001978025,0.0003835341,0.00122629,0.001097557,0.0004364517,0.001170067],"category_scores_gemma":[0.01869875,0.0003261782,0.001215309,0.001976684,0.000380027,0.0006947162,0.001216406,0.00136244,0.0001814831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137312,"about_ca_system_score_gemma":0.00266053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0723918,"about_ca_topic_score_gemma":0.1417481,"domain_scores_codex":[0.9978449,0.0009492438,0.0002397626,0.0002388825,0.0004977001,0.0002294494],"domain_scores_gemma":[0.9892657,0.003579248,0.004697875,0.0004511093,0.001274527,0.0007315216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002661817,0.00002473019,0.9961728,0.00003985312,0.00004626293,0.00001257193,0.0001460309,0.0001185846,0.000009318034,0.00002412191,0.0003193982,0.003059643],"study_design_scores_gemma":[0.000006073468,0.00005650186,0.9971533,0.000124035,0.00004393408,0.00003827346,0.0007935616,0.001120914,0.00004631827,0.00005580196,0.0005527686,0.000008592328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919612,0.001066446,0.001008063,0.0005717709,0.00005229281,0.000167876,0.00386641,0.00002549511,0.001280559],"genre_scores_gemma":[0.9919943,0.0006930642,0.003352848,0.0001088512,0.00003657052,0.0002195104,0.003373352,0.000008268805,0.000213346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0723918,"threshold_uncertainty_score":0.1439409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1657964248529231,"score_gpt":0.4696126653955914,"score_spread":0.3038162405426684,"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."}}