{"id":"W1966171923","doi":"10.1109/ichi.2013.38","title":"Supporting N-Screen Medical Data Access in mHealth","year":2013,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"mHealth; Computer science; Scalability; Mobile device; Consistency (knowledge bases); Mobile computing; Data access; Wireless; Mobile telephony; Computer network; Mobile radio; Health care; World Wide Web; Database; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009313463,0.00007954452,0.0001571613,0.00004841466,0.0000412012,0.0003235005,0.004081983,0.00006349511,0.0004390919],"category_scores_gemma":[0.0001308476,0.00006175582,0.00001348226,0.0003621737,0.00001877636,0.001942554,0.00144088,0.0001447738,0.0002431759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001794236,"about_ca_system_score_gemma":0.0001671004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005293573,"about_ca_topic_score_gemma":0.0006860897,"domain_scores_codex":[0.998315,0.00005177338,0.0004081795,0.0004158692,0.0004298296,0.0003793821],"domain_scores_gemma":[0.9985395,0.00006041306,0.00008415576,0.001068467,0.00004118941,0.0002062694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001718499,0.0001916979,0.08281332,0.00007651494,0.00001220258,0.0001151102,0.0002528527,0.00002384214,0.00002134547,0.06233668,0.3048458,0.5493089],"study_design_scores_gemma":[0.0004788365,0.0000203018,0.09870736,0.00007748963,8.206744e-7,0.00003095271,0.00004906792,0.8705855,0.0000256032,0.001387757,0.02841404,0.0002222507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01803989,0.00008991009,0.9418434,0.01138404,0.0003360394,0.0003058717,0.00001533809,0.0001903189,0.02779521],"genre_scores_gemma":[0.9924699,0.000008579451,0.005337867,0.001655987,0.00007505716,0.00001306294,0.00004056385,0.00000420772,0.0003947893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.97443,"threshold_uncertainty_score":0.8002334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06764257629930419,"score_gpt":0.3905106406405613,"score_spread":0.3228680643412571,"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."}}