{"id":"W7116741789","doi":"10.2196/81701","title":"Scalable Big Data Platform With End-to-End Traceability for Health Data Monitoring in Older Adults: Development and Performance Evaluation","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traceability; Scalability; Modular design; Big data; Component (thermodynamics); Health data; Health care; Architecture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003458051,0.000161005,0.0003607688,0.0002592951,0.0001785374,0.00001739599,0.0004361835,0.0002297316,0.00001000153],"category_scores_gemma":[0.0006569362,0.0001255575,0.000008087228,0.0004481047,0.00008860308,0.0004696975,0.0004176778,0.0005118945,0.000003417149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002977573,"about_ca_system_score_gemma":0.002157532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004922959,"about_ca_topic_score_gemma":0.0001745759,"domain_scores_codex":[0.9975826,0.00002411131,0.000926288,0.0002803167,0.0007651758,0.0004215115],"domain_scores_gemma":[0.998216,0.0001973269,0.0001412873,0.001015953,0.0001393228,0.00029012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002689147,0.0001189186,0.1628139,0.002323631,0.00002133117,8.306774e-7,0.004286227,0.000001706122,1.575853e-7,0.000007108843,0.0003915453,0.8297657],"study_design_scores_gemma":[0.01090023,0.001262462,0.6999754,0.01679694,0.00006918306,0.00003662553,0.01338144,0.2311386,0.0004237932,0.00001820292,0.02557073,0.0004264366],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925697,0.0002149806,0.001768207,0.002242678,0.0003482758,0.00260523,0.00003604951,0.00009760659,0.0001172445],"genre_scores_gemma":[0.9710836,0.0001143496,0.02706099,0.0006180836,0.00011277,0.0003199685,0.000660241,0.00000948901,0.00002054917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8293393,"threshold_uncertainty_score":0.5120085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229110627651501,"score_gpt":0.4074949321615554,"score_spread":0.2845838693964053,"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."}}