{"id":"W2473961292","doi":"10.1007/978-3-319-24717-5_3","title":"Secure Health Data Collection in MHN","year":2015,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Upload; Computer science; Data aggregator; Intuition; Data collection; Health data; Cloud computing; Computer network; Computer security; World Wide Web; Health care; Wireless sensor network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004811878,0.0003654428,0.0003256742,0.0002990795,0.0003774488,0.001196734,0.000560261,0.000682769,0.005615002],"category_scores_gemma":[0.001185346,0.0002236199,0.000235781,0.0005551925,0.0007428313,0.002149651,0.001232356,0.0009989381,0.001475637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007963853,"about_ca_system_score_gemma":0.0003904817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006467584,"about_ca_topic_score_gemma":0.0007011106,"domain_scores_codex":[0.999692,0.00006241621,0.00002192591,0.00004567164,0.000152605,0.00002540536],"domain_scores_gemma":[0.9996661,0.0001900125,0.00002128172,0.00006894627,0.00004276976,0.00001088977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007661432,0.00003287607,0.000249232,0.0004034007,0.00001869509,0.0002016948,0.0002859853,0.01978222,0.003444183,0.5001047,0.03157047,0.4438299],"study_design_scores_gemma":[0.00001515941,0.00005989612,0.000487151,0.0004053899,0.0000285389,0.0008731051,0.0001933574,0.1359762,0.006322856,0.4914528,0.3641469,0.00003877391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006811521,0.02244329,0.8205381,0.003317772,0.002079153,0.0001613996,0.0002399307,0.0007654454,0.1436433],"genre_scores_gemma":[0.4241633,0.0462939,0.2489578,0.002033397,0.003153255,0.0003652067,0.0006964415,0.0003310039,0.2740057],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005615002,"threshold_uncertainty_score":0.01878405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09323885677302297,"score_gpt":0.2896378611564897,"score_spread":0.1963990043834667,"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."}}