{"id":"W7144358338","doi":"10.71465/ajainn681","title":"Using AI to Improve Social Services with Neural Networks","year":2025,"lang":"","type":"article","venue":"American Journal of Artificial Intelligence and Neural Networks","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Field (mathematics); Social Welfare; Artificial neural network; Service (business); Resource (disambiguation); Social network (sociolinguistics); Service provider","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001478158,0.0005074444,0.000991616,0.0003505751,0.002622692,0.001010763,0.0007665514,0.0002497583,0.0001833129],"category_scores_gemma":[0.0001168174,0.0004598237,0.0002923421,0.004809741,0.001708843,0.001006472,0.0001639573,0.001596207,0.000004549171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836146,"about_ca_system_score_gemma":0.0004171427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400894,"about_ca_topic_score_gemma":0.0009200966,"domain_scores_codex":[0.9952013,0.001074943,0.001437484,0.0005752615,0.0006465048,0.001064474],"domain_scores_gemma":[0.9955368,0.001004431,0.001666634,0.0002197537,0.0009635468,0.0006088062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002260543,0.000235126,0.002076862,0.00002520607,0.0002826016,0.00003645218,0.0125716,0.1360589,0.000045997,0.005629173,0.0003629113,0.8404147],"study_design_scores_gemma":[0.0001761076,0.002526575,0.0008416294,0.0003056707,0.0008858556,0.00005523369,0.1512465,0.8341262,0.0001103521,0.001805637,0.006948627,0.0009716311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6406645,0.002664716,0.265949,0.07758677,0.0111692,0.0009944317,0.000008288056,0.00005665456,0.0009064827],"genre_scores_gemma":[0.9829049,0.0005403925,0.000529873,0.01159676,0.004220197,0.000005641296,0.000001580667,0.00003685274,0.0001638804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.839443,"threshold_uncertainty_score":0.9997854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0416969442364742,"score_gpt":0.3770802242143553,"score_spread":0.3353832799778811,"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."}}