{"id":"W3112787489","doi":"10.1007/978-3-030-57566-3_17","title":"A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables","year":2020,"lang":"en","type":"book-chapter","venue":"Smart innovation, systems and technologies","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Wearable computer; Type 2 Diabetes Mellitus; Diabetes mellitus; Medicine; Computer science; Risk analysis (engineering); Embedded system; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003787911,0.000718154,0.0002501495,0.0006961952,0.0003332448,0.001496291,0.0006524548,0.001257719,0.01652106],"category_scores_gemma":[0.0007372414,0.0002321229,0.0005042756,0.0005180471,0.000391806,0.001627578,0.000776549,0.001167666,0.008413495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002797916,"about_ca_system_score_gemma":0.0004655556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006282568,"about_ca_topic_score_gemma":0.001284621,"domain_scores_codex":[0.9998086,0.0000329676,0.000007973962,0.00003310724,0.0001031509,0.00001421987],"domain_scores_gemma":[0.9997802,0.0001160906,0.00000893585,0.00001864342,0.00006032502,0.00001581465],"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":[0.00004788603,0.000138059,0.0008601827,0.0004257445,0.00003912125,0.0003164254,0.0003894736,0.0008738695,0.01384992,0.08376645,0.1797015,0.7195913],"study_design_scores_gemma":[0.00002360369,0.0001706169,0.001989482,0.0005581176,0.00005738556,0.001185357,0.00036995,0.005598339,0.008824402,0.0459215,0.9352571,0.00004423928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01107937,0.03294524,0.3400974,0.02167881,0.01174882,0.0003154311,0.0008915078,0.002629681,0.5786138],"genre_scores_gemma":[0.03802268,0.02733851,0.1723249,0.009330752,0.002062706,0.0003179891,0.000744301,0.0002709483,0.7495871],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01652106,"threshold_uncertainty_score":0.05526847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07389147945091869,"score_gpt":0.2788068479408331,"score_spread":0.2049153684899144,"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."}}