{"id":"W2169755390","doi":"10.1109/icmew.2012.83","title":"Tele-Medical Applications in Home-Based Health Care","year":2012,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Interoperability; Health care; Computer science; Taxonomy (biology); Data science; World Wide Web","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":[0.0001064286,0.0000797616,0.00011128,0.0000621728,0.00002666184,0.000005951703,0.0001046758,0.0000812589,0.0001588837],"category_scores_gemma":[0.000003651625,0.00007529061,0.00002102567,0.0002045725,0.00001627733,0.00005368334,0.00001263999,0.0001685103,0.00006690998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140459,"about_ca_system_score_gemma":0.00004954296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005132535,"about_ca_topic_score_gemma":0.0002895246,"domain_scores_codex":[0.9992905,0.00001340155,0.0001480663,0.00007371885,0.0001433306,0.0003310098],"domain_scores_gemma":[0.9995459,0.00004911889,0.000008661424,0.000175333,0.000008659458,0.0002123651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000970838,0.000401526,0.5181196,0.001128978,0.0000422301,0.00000616706,0.004272042,0.1016783,0.00005011992,0.01735065,0.04295759,0.3139831],"study_design_scores_gemma":[0.003150276,0.00008192654,0.3197457,0.0003509011,0.00001505536,0.00001227229,0.003009954,0.304565,0.001293497,0.0001027949,0.3660545,0.001618111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4342525,0.01682005,0.4775642,0.001851918,0.001025376,0.001653539,0.00003069013,0.003109221,0.06369251],"genre_scores_gemma":[0.9979969,0.00002224451,0.001322235,0.0002538495,0.0002081229,0.0001015012,0.00005547925,0.00002237223,0.00001728402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5637444,"threshold_uncertainty_score":0.3070262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007437158276666432,"score_gpt":0.2392617354907876,"score_spread":0.2318245772141211,"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."}}