{"id":"W1975592151","doi":"10.2196/mhealth.3481","title":"A Mobile App for Securely Capturing and Transferring Clinical Images to the Electronic Health Record: Description and Preliminary Usability Study","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Brigham and Women's Hospital","keywords":"Computer science; Usability; Mobile device; Authentication (law); World Wide Web; Multimedia; Computer security; Human–computer interaction","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":[0.006943611,0.0007872788,0.0005730496,0.001100991,0.0006850152,0.001167934,0.000643439,0.0008848571,0.001244037],"category_scores_gemma":[0.01392208,0.0004364919,0.0007764672,0.0005341394,0.0004510027,0.001385694,0.0009475188,0.0005204555,0.0004616649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004237541,"about_ca_system_score_gemma":0.0006701777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209253,"about_ca_topic_score_gemma":0.002782864,"domain_scores_codex":[0.9965715,0.001637464,0.0004808575,0.0002657194,0.0007542705,0.0002901528],"domain_scores_gemma":[0.9885809,0.007287923,0.0004880702,0.0004095656,0.002834079,0.0003993858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005368081,0.02530567,0.3038605,0.01230566,0.0006193553,0.01041042,0.07559533,0.001748819,0.07020759,0.000762521,0.008204753,0.4856112],"study_design_scores_gemma":[0.001409904,0.1120123,0.7168584,0.003531828,0.00161317,0.02496096,0.05307367,0.01704212,0.03380698,0.0004118929,0.03466958,0.0006091396],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916773,0.0005022942,0.003224874,0.0001297506,0.00002723073,0.002740998,0.0001814969,0.0001166866,0.001399355],"genre_scores_gemma":[0.9683087,0.001186072,0.02438516,0.0003467074,0.00004626735,0.002839696,0.0004306363,0.00008266883,0.00237399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006943611,"threshold_uncertainty_score":0.03672177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102774341840801,"score_gpt":0.4374919455847982,"score_spread":0.3347176037439972,"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."}}