{"id":"W2394741926","doi":"","title":"Accelerating Artificial Pancreas Research through the Development of Data and Communication Standards","year":2012,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Artificial pancreas; Engineering management; Knowledge management; Engineering; eHealth; Process management; Computer science; Health care; Business; Medicine; Type 1 diabetes; World Wide Web; Diabetes mellitus; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.07587941,0.001318925,0.001072081,0.004457903,0.001815746,0.01432343,0.004693979,0.008380017,0.007659232],"category_scores_gemma":[0.0667197,0.0009337176,0.00148619,0.003466801,0.006901237,0.0260315,0.0115624,0.01230413,0.004470737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006362156,"about_ca_system_score_gemma":0.0211948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681623,"about_ca_topic_score_gemma":0.001604351,"domain_scores_codex":[0.9604912,0.01402096,0.003142289,0.002369041,0.01808597,0.001890565],"domain_scores_gemma":[0.9046775,0.03328579,0.00412542,0.01287865,0.03841686,0.006615807],"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":[0.00007282553,0.0002215298,0.001108003,0.001294673,0.00005476083,0.0001441926,0.001401497,0.002816577,0.004789489,0.6949387,0.03787691,0.2552808],"study_design_scores_gemma":[0.00004434974,0.000189072,0.0006112207,0.003016264,0.00003592326,0.0002119892,0.0009502423,0.004882054,0.006523114,0.2063349,0.7771001,0.0001007933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007978464,0.05595853,0.6717455,0.1603974,0.007327293,0.0009673715,0.0005467878,0.00192373,0.09315483],"genre_scores_gemma":[0.06284995,0.07872091,0.8140323,0.02233556,0.003623824,0.0009603362,0.002274736,0.0009105706,0.01429187],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07587941,"threshold_uncertainty_score":0.4012935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2288884241206938,"score_gpt":0.391875318352352,"score_spread":0.1629868942316582,"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."}}