{"id":"W2092373006","doi":"10.1109/hic.2014.7038903","title":"Medical remote observational and diagnostic telemonitoring (MedROAD)","year":2014,"lang":"en","type":"article","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Observational study; Computer science; Telemedicine; Service (business); Medical information; Health care; Knowledge management; Medicine; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001820883,0.0004307509,0.0003379055,0.0008442356,0.0003597992,0.0005730505,0.0007758019,0.0006854234,0.01645162],"category_scores_gemma":[0.003078845,0.0002208338,0.0003837108,0.0005930521,0.0002793643,0.0005587246,0.001943591,0.000583179,0.004748194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002946558,"about_ca_system_score_gemma":0.0009065109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042823,"about_ca_topic_score_gemma":0.001081281,"domain_scores_codex":[0.9989268,0.0004344042,0.00006487728,0.0002592506,0.0002296067,0.00008501697],"domain_scores_gemma":[0.9976733,0.0008251863,0.0003317095,0.0003797142,0.0003436572,0.0004463315],"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":[0.003989956,0.001977355,0.06558178,0.001287136,0.0001402338,0.000710855,0.001293035,0.002172527,0.04034096,0.003874295,0.04617981,0.8324521],"study_design_scores_gemma":[0.003839204,0.01325853,0.3386321,0.001004316,0.0005721797,0.00798309,0.00143161,0.06987677,0.05854931,0.006403259,0.4980378,0.0004116515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4515261,0.002617653,0.4032359,0.003021931,0.0009273274,0.006843568,0.03190276,0.03289426,0.06703042],"genre_scores_gemma":[0.6973269,0.001410691,0.2466357,0.001391862,0.0006007421,0.003717505,0.0134281,0.0005640791,0.03492442],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01645162,"threshold_uncertainty_score":0.05503619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07651117769157881,"score_gpt":0.4523781992054281,"score_spread":0.3758670215138493,"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."}}