{"id":"W4409281416","doi":"10.1016/j.biopsych.2025.02.394","title":"157. Predicting Child and Youth ED Visits With Large Language Models","year":2025,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University; University of British Columbia; Toronto Metropolitan University","funders":"","keywords":"Psychology; Developmental psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001831767,0.0004819177,0.0005088208,0.0004393786,0.0005817425,0.0009619042,0.001170544,0.001300347,0.03359229],"category_scores_gemma":[0.008933499,0.0004302725,0.001279338,0.000549841,0.000188457,0.001123649,0.0005391864,0.001153352,0.007345142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009578624,"about_ca_system_score_gemma":0.001449697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04698142,"about_ca_topic_score_gemma":0.05228209,"domain_scores_codex":[0.9997665,0.0001085253,0.00001831441,0.00004356673,0.00003289847,0.00003016714],"domain_scores_gemma":[0.9975113,0.00200821,0.00006220763,0.0001283632,0.0001837242,0.0001062874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006853334,0.0005267072,0.07332214,0.0001451105,0.0004702604,0.0002913801,0.000232697,0.6334127,0.001941198,0.01281428,0.08587211,0.1902862],"study_design_scores_gemma":[0.0001133701,0.00003600038,0.007001532,0.00002395699,0.00006861772,0.00002691433,0.00008356652,0.9772677,0.0009777307,0.01100278,0.003372797,0.0000249369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4963993,0.0008964821,0.3906603,0.01455352,0.0009919491,0.0002900324,0.04215419,0.008796651,0.0452575],"genre_scores_gemma":[0.853452,0.000245118,0.1079943,0.000937721,0.0002963929,0.0003267742,0.01845527,0.0005822193,0.01771023],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04698142,"threshold_uncertainty_score":0.1123774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0535209787507251,"score_gpt":0.3368730299571706,"score_spread":0.2833520512064455,"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."}}