{"id":"W3117272245","doi":"10.5815/ijitcs.2020.06.05","title":"Managing Data Diversity on the Internet of Medical Things (IoMT)","year":2020,"lang":"en","type":"article","venue":"International Journal of Information Technology and Computer Science","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Health care; Data science; Big data; The Internet; Field (mathematics); Identification (biology); Key (lock); World Wide Web; Internet privacy; Computer security; Data mining","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":[0.000831357,0.00005259605,0.00007756834,0.0004848968,0.0001018842,0.0002009062,0.003743877,0.00004052345,0.00006184001],"category_scores_gemma":[0.0003915765,0.0000340468,0.00001555675,0.0005491636,0.000388921,0.004990474,0.003728947,0.0001976737,0.00002109704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008862464,"about_ca_system_score_gemma":0.0000374931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002469851,"about_ca_topic_score_gemma":6.63566e-7,"domain_scores_codex":[0.9987589,0.00000269044,0.0002802873,0.00007886846,0.0008098787,0.00006944074],"domain_scores_gemma":[0.9989479,0.00003272291,0.0004088167,0.0001334689,0.0004650135,0.00001208651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005433206,0.00002516416,0.006586687,0.00002603802,0.00003544999,0.00001082194,0.0004005702,0.00004643476,0.00001820845,0.5714639,0.005769441,0.4155629],"study_design_scores_gemma":[0.0004696625,0.00007021347,0.005741206,0.0003265072,0.00001858955,0.0001273794,0.0005147119,0.9121692,0.001038738,0.02238088,0.05698724,0.0001556744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.146059,0.00002774889,0.7115121,0.140367,0.001054999,0.00005424503,0.000003187452,0.00003226119,0.000889403],"genre_scores_gemma":[0.989141,0.00003156723,0.0008421513,0.009805348,0.0001746195,1.518247e-7,0.000003226055,9.029977e-7,0.000001039319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9121228,"threshold_uncertainty_score":0.6957118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04900331007972897,"score_gpt":0.2713179157341144,"score_spread":0.2223146056543854,"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."}}