{"id":"W2739275733","doi":"10.2196/mhealth.7938","title":"Tamper-Resistant Mobile Health Using Blockchain Technology","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":295,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Telemedicine; Computer science; Health care; Data integrity; Medical record; Computer security; Internet privacy; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008676511,0.0002339757,0.0004486757,0.0003485836,0.003074707,0.0001474334,0.001423389,0.000291761,0.000004554756],"category_scores_gemma":[0.00003637316,0.0002242491,0.00004415824,0.0003585108,0.0004085754,0.0001293159,0.0005799771,0.0005313607,0.00001089185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623502,"about_ca_system_score_gemma":0.0006911496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006257227,"about_ca_topic_score_gemma":0.0001882863,"domain_scores_codex":[0.9975412,0.00007683055,0.0005093108,0.0007691067,0.0002029208,0.0009006191],"domain_scores_gemma":[0.9967278,0.00003707554,0.0006193391,0.002079658,0.00008798371,0.0004481533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000230734,0.0003425614,0.00374595,0.0005310903,0.00001480465,0.0000145359,0.0009768836,0.00001126202,0.0002328587,0.589393,0.001007924,0.403706],"study_design_scores_gemma":[0.007467335,0.007935635,0.07703645,0.000682956,0.00008308156,0.001093532,0.002356272,0.283771,0.001293155,0.3254131,0.2894418,0.003425653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9219957,0.004957617,0.03140128,0.03880023,0.0002909009,0.001556073,0.00002230866,0.0007398839,0.0002359893],"genre_scores_gemma":[0.9696568,0.0005090385,0.0277177,0.00164172,0.00007445145,0.0003379766,0.000001878829,0.0000167008,0.00004369556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4002804,"threshold_uncertainty_score":0.9982231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04025679449193859,"score_gpt":0.365196568991099,"score_spread":0.3249397744991604,"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."}}