{"id":"W4406458801","doi":"10.1109/bigdata62323.2024.10825957","title":"Big data analytic of US Medicare Claims of healthcare service informatics and billing fraud","year":2024,"lang":"en","type":"article","venue":"","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Big data; Health informatics; Informatics; Health care; Healthcare service; Computer science; Data science; Data mining; Engineering","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":[0.0004561621,0.00008171362,0.0001747411,0.0001963543,0.00002742173,0.00005998292,0.001283884,0.00006390167,0.000005198224],"category_scores_gemma":[0.00003991381,0.00006402085,0.00001424663,0.0008815866,0.00005492491,0.0006519802,0.0007745487,0.0001146238,0.000004330457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000167672,"about_ca_system_score_gemma":0.0001814493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004391522,"about_ca_topic_score_gemma":0.0001666791,"domain_scores_codex":[0.9988631,0.00002475116,0.0004839163,0.0002057191,0.0003019076,0.0001205858],"domain_scores_gemma":[0.9981111,0.0001249048,0.000128437,0.001404939,0.0001678827,0.00006274631],"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":[0.000005361325,0.00005727986,0.004214081,0.007189204,0.0001115224,0.00000650843,0.006574238,0.00003158451,0.001736624,0.1905847,0.009282913,0.780206],"study_design_scores_gemma":[0.00009491605,0.00005991965,0.001383899,0.0004389383,0.00001620661,0.00001262242,0.0005262939,0.9709972,0.007399943,0.002677384,0.01624663,0.0001460842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005507875,0.0005341601,0.9885015,0.004234212,0.0001749731,0.0001443951,0.000174489,0.0002809471,0.0004474824],"genre_scores_gemma":[0.8014606,0.000351687,0.1973364,0.0006694038,0.00002756629,0.00000344434,0.0001257639,0.00000628915,0.00001888145],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9709656,"threshold_uncertainty_score":0.2610694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08696358680796142,"score_gpt":0.3216540670007815,"score_spread":0.2346904801928201,"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."}}