{"id":"W3178521922","doi":"10.1177/10775595211029713","title":"Child Welfare System Involvement Among Children With Medical Complexity","year":2021,"lang":"en","type":"article","venue":"Child Maltreatment","topic":"Child Abuse and Trauma","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary; Université de Montréal; University of Toronto; SickKids Foundation; Centre Hospitalier Universitaire Sainte-Justine; Hospital for Sick Children","funders":"","keywords":"Neglect; Medicine; Child abuse; Foster care; Welfare; Welfare system; Poison control; Odds ratio; Logistic regression; Child neglect; Injury prevention; Medical record; Intervention (counseling); Demography; Occupational safety and health; Mental health; Suicide prevention; Retrospective cohort study; Health care; Psychiatry; Medical emergency; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001557438,0.0004576128,0.000535297,0.00008880447,0.0006682849,0.00006382594,0.0003060373,0.0002038607,0.007333794],"category_scores_gemma":[0.00001156669,0.0003452866,0.0002085316,0.0002890011,0.0002285145,0.00007354586,0.0001430652,0.0004121391,0.0005217415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407166,"about_ca_system_score_gemma":0.00005620953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007728793,"about_ca_topic_score_gemma":0.002229947,"domain_scores_codex":[0.9971102,0.0001782134,0.0004394569,0.0009371265,0.0006918636,0.0006430951],"domain_scores_gemma":[0.9981867,0.00003640827,0.000145162,0.001076472,0.000076657,0.0004786013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000230086,0.00509246,0.7162458,0.0001053699,0.0050728,0.003484688,0.002920729,0.0000145086,5.770137e-7,0.2492677,0.003192992,0.01437236],"study_design_scores_gemma":[0.005111301,0.000315147,0.9836276,0.000555791,0.0002805982,0.001824201,0.001446561,0.00000732963,0.0002861249,0.00002230536,0.006104914,0.0004181351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7878483,0.001749018,0.00007338411,0.006243452,0.0005275399,0.0009272256,0.0001129008,0.0003699978,0.2021482],"genre_scores_gemma":[0.997172,0.00004887861,0.0001530886,0.0007528309,0.0004835778,0.000175985,0.0006222299,0.00006502218,0.0005263729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2673818,"threshold_uncertainty_score":0.9998999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150163839288667,"score_gpt":0.2599243175566627,"score_spread":0.2384226791637761,"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."}}