{"id":"W4399543584","doi":"10.1016/j.childyouth.2026.108974","title":"Predicting Child Welfare Involvement in Ontario Children and Youth Accessing Mental Health Services: Development of the Child and Youth Protection Risk Algorithm (Cypra)","year":2024,"lang":"en","type":"preprint","venue":"Children and Youth Services Review","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Western University","funders":"Public Health Agency of Canada","keywords":"Welfare; Mental health; Psychology; Positive Youth Development; Developmental psychology; Environmental health; Psychiatry; Medicine; Political science","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":[0.00326369,0.0006960495,0.0008194927,0.00240969,0.0007261172,0.001401662,0.001345156,0.0004765374,0.002113033],"category_scores_gemma":[0.00786349,0.0004078516,0.001610979,0.002017623,0.0001736468,0.0004041377,0.0009059734,0.0005449955,0.0004500489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00435405,"about_ca_system_score_gemma":0.01247673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7365574,"about_ca_topic_score_gemma":0.8574207,"domain_scores_codex":[0.999,0.0002288042,0.0001452286,0.0001278852,0.0004048902,0.00009328545],"domain_scores_gemma":[0.9978549,0.0005745475,0.0002655997,0.00009224283,0.00105414,0.0001585457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003251555,0.0001227279,0.8736951,0.000598315,0.0009251087,0.00004337132,0.000196641,0.003060835,0.0002336849,0.0003209344,0.01432006,0.106158],"study_design_scores_gemma":[0.0001781536,0.0001724913,0.9511099,0.0005654724,0.001902541,0.0001571768,0.0005570369,0.02645775,0.0006467472,0.0003306117,0.01786636,0.00005565505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8347057,0.01296422,0.0155919,0.002128392,0.0001762803,0.002077884,0.1173296,0.0007074045,0.0143186],"genre_scores_gemma":[0.8230195,0.01008503,0.06503232,0.0002122942,0.00007779612,0.001217911,0.09222484,0.0001316833,0.007998623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2634426,"threshold_uncertainty_score":0.5299881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275897781140469,"score_gpt":0.3241706122789553,"score_spread":0.2914116344675506,"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."}}