{"id":"W4393145726","doi":"10.1609/aaai.v38i21.30316","title":"IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"National Natural Science Foundation of China; National Research Foundation Singapore; National Science Council; National Research Foundation","keywords":"Business; Actuarial science; Internet privacy; Risk analysis (engineering); Computer security; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001502993,0.0002560067,0.0004490381,0.0002018259,0.0003072604,0.0002155777,0.0003634528,0.0002022568,0.0001052164],"category_scores_gemma":[0.0002995501,0.0001849613,0.0001891028,0.0005771815,0.0001662553,0.0003365981,0.00005282717,0.0004814804,0.00003547144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003305836,"about_ca_system_score_gemma":0.001128696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005197957,"about_ca_topic_score_gemma":0.00009082554,"domain_scores_codex":[0.9971892,0.00001902403,0.001028274,0.0005630382,0.0006301213,0.0005703164],"domain_scores_gemma":[0.9978621,0.0001377093,0.0003019811,0.0002215487,0.001192663,0.0002840224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001612175,0.0001807636,0.0006251159,0.0009346504,0.0000294696,3.139524e-7,0.003192276,0.000002578944,0.005415209,0.7020373,0.0002465062,0.2871746],"study_design_scores_gemma":[0.0004252328,0.007175311,0.03389376,0.00594835,0.0002418255,0.00006395716,0.03200178,0.1275004,0.2139494,0.5096891,0.0674464,0.001664588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535629,0.0001794099,0.007555149,0.02285559,0.00158759,0.003111057,0.0002819015,0.0002545255,0.01061185],"genre_scores_gemma":[0.9973298,0.0001456831,0.0009046227,0.0004056765,0.0005410135,0.0002076208,0.00002298772,0.00003829409,0.0004043422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.28551,"threshold_uncertainty_score":0.7542501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2328154711918726,"score_gpt":0.4471055671653415,"score_spread":0.2142900959734689,"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."}}