{"id":"W4405279369","doi":"10.4018/979-8-3373-0240-9.ch022","title":"Use of Artificial Intelligence for Health Insurance","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in human services and public health (AHSPH) book series","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Actuarial science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004086321,0.0005435865,0.000286882,0.002699526,0.0006859201,0.002907475,0.0004072129,0.0009422999,0.01325695],"category_scores_gemma":[0.0008365992,0.0002410169,0.0003986945,0.003632216,0.001388828,0.002649348,0.0009765532,0.001688538,0.005487211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614762,"about_ca_system_score_gemma":0.001186445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605954,"about_ca_topic_score_gemma":0.003000097,"domain_scores_codex":[0.9995778,0.00008593689,0.00002020673,0.00004388432,0.0002536715,0.00001843669],"domain_scores_gemma":[0.9995732,0.0002971085,0.00002554356,0.00003074651,0.0000595836,0.00001390751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001222793,0.00004832276,0.000313693,0.0007888589,0.00002325478,0.0001321855,0.001037798,0.001115718,0.0006150609,0.3822369,0.2859686,0.3277074],"study_design_scores_gemma":[0.000002343753,0.000009420595,0.0005556364,0.0007309203,0.000007377778,0.0002180721,0.0001116977,0.0005002993,0.0001933638,0.06332262,0.9343396,0.000008613791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001307013,0.1655665,0.008456592,0.006663291,0.001601558,0.00005967736,0.0002531729,0.0001656766,0.8159264],"genre_scores_gemma":[0.03874964,0.2776147,0.02457601,0.006490622,0.002846877,0.0001911136,0.0006214748,0.000188249,0.6487213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01325695,"threshold_uncertainty_score":0.0443489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1997832350311893,"score_gpt":0.4362094281955627,"score_spread":0.2364261931643734,"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."}}