{"id":"W4409625267","doi":"10.1007/978-3-031-85908-3_4","title":"MobiVitalsConnect: A Comprehensive Mobile Healthcare System for Real-Time Patient Monitoring and Data Visualization","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Sheridan College","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Computer science; Health care; World Wide Web; Real-time computing; Data mining; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004609982,0.001247162,0.0005683954,0.001120867,0.0002830513,0.001495743,0.001458608,0.001184282,0.03865227],"category_scores_gemma":[0.0007668403,0.0004651115,0.000412821,0.0008128893,0.0001925023,0.001125293,0.001681027,0.0008716501,0.01901403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003162267,"about_ca_system_score_gemma":0.0004913473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099482,"about_ca_topic_score_gemma":0.001383824,"domain_scores_codex":[0.9997041,0.00004024907,0.00001848377,0.00005948126,0.0001524182,0.00002531179],"domain_scores_gemma":[0.999676,0.0000970182,0.00001683616,0.00004892578,0.00009649979,0.00006471711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003663852,0.00006978553,0.0005289852,0.0006155788,0.00004712559,0.0004839564,0.000343284,0.001145885,0.03333816,0.007730565,0.3428418,0.6124886],"study_design_scores_gemma":[0.00007083346,0.0001605179,0.001302294,0.0002658598,0.00004072537,0.00182891,0.00006096462,0.01670314,0.01368931,0.003207442,0.9625665,0.0001036404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01274656,0.0174437,0.7183281,0.001584651,0.001906122,0.0007518596,0.005651604,0.1175316,0.1240558],"genre_scores_gemma":[0.08869588,0.01490421,0.4195741,0.004043926,0.001264662,0.001048048,0.0137016,0.01409503,0.4426726],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03865227,"threshold_uncertainty_score":0.1293047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07314189646189875,"score_gpt":0.3517546685536213,"score_spread":0.2786127720917225,"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."}}