{"id":"W7083592861","doi":"10.25258/ijddt.15.3.32","title":"Leveraging IoT and Remote Patient Monitoring to Optimize Home Health Care Delivery","year":2025,"lang":"en","type":"article","venue":"International Journal of Drug Delivery Technology","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University","keywords":"Workflow; Triage; Remote patient monitoring; Dashboard; Telemedicine; Health care; Population; Thematic analysis; Vital signs; Patient experience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001260742,0.00009670203,0.0001762364,0.0004466053,0.0001540251,0.00001214789,0.000297311,0.00004784567,0.00003549274],"category_scores_gemma":[0.00002664134,0.00008545344,0.00004278644,0.0001279968,0.0001439971,0.00007670035,0.000150406,0.0002145991,0.00001034213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005976015,"about_ca_system_score_gemma":0.00005088717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000210419,"about_ca_topic_score_gemma":0.00008228177,"domain_scores_codex":[0.9991373,0.00003179475,0.0002897998,0.0001516992,0.0001978704,0.000191518],"domain_scores_gemma":[0.9995615,0.0000654756,0.0001459449,0.00006409459,0.0001004766,0.0000624603],"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":[0.00009247206,0.000009825914,0.4275098,0.000005488984,0.00009815443,0.00007551831,0.00133605,0.002292906,0.00004072784,0.00002327215,0.0002388733,0.5682769],"study_design_scores_gemma":[0.002264224,0.001061406,0.9130897,0.0009916592,0.00005944469,0.0005659221,0.03488934,0.001454165,0.004886921,0.006213942,0.0339559,0.0005673858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785833,0.01179543,0.0005178844,0.00763363,0.001165418,0.0000612204,0.00001210872,0.00001772574,0.0002132972],"genre_scores_gemma":[0.9879047,0.001954147,0.009293401,0.0007397273,0.00005796913,2.515089e-7,0.000002442731,0.000001871775,0.00004550134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5677095,"threshold_uncertainty_score":0.348469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005932852849373492,"score_gpt":0.2250926834230386,"score_spread":0.2191598305736651,"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."}}