{"id":"W4205649270","doi":"10.2196/32104","title":"User Control of Personal mHealth Data Using a Mobile Blockchain App: Design Science Perspective","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Health Insurance Portability and Accountability Act; Computer science; Android (operating system); Blockchain; Information privacy; Software portability; Computer security; Health care; World Wide Web; Internet privacy; Confidentiality; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003278538,0.0004342609,0.0002588553,0.0005239862,0.0008262655,0.002667765,0.0009517522,0.001259723,0.003920116],"category_scores_gemma":[0.004895751,0.0003454209,0.0003149492,0.0004018555,0.00175881,0.002962216,0.001195785,0.001111561,0.0005947743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000888165,"about_ca_system_score_gemma":0.001662517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124665,"about_ca_topic_score_gemma":0.001552416,"domain_scores_codex":[0.9976567,0.001214786,0.0001122348,0.0001649926,0.0006708637,0.0001803355],"domain_scores_gemma":[0.9957317,0.002408092,0.0002902203,0.0007101846,0.0006770217,0.0001827766],"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":[0.0004205075,0.0005616326,0.008541818,0.001407814,0.00009495073,0.00136007,0.005170586,0.08802097,0.06257352,0.6307831,0.003679127,0.1973859],"study_design_scores_gemma":[0.0002366146,0.001980352,0.002768722,0.0008565463,0.0001613933,0.001756576,0.001988109,0.4962731,0.1142949,0.2221578,0.1573317,0.0001942304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.142855,0.001008518,0.7993037,0.00283976,0.0001290976,0.001181869,0.0001605671,0.0005709103,0.05195053],"genre_scores_gemma":[0.7722092,0.001109829,0.2123473,0.0002487761,0.00005250137,0.0009284869,0.0001168269,0.0001012517,0.01288577],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003920116,"threshold_uncertainty_score":0.01733875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06467504716750311,"score_gpt":0.371530896995838,"score_spread":0.3068558498283349,"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."}}