{"id":"W1989259659","doi":"10.1089/dia.2011.0159","title":"Exploring Blood Glucose Variation over Geographical Space","year":2011,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Diabetes Management and Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Canadian Institutes of Health Research; University of Toronto; Toronto Rehabilitation Institute","keywords":"Medicine; Global Positioning System; Diabetes mellitus; Variation (astronomy); Obesity; Scale (ratio); Internal medicine; Cartography; Endocrinology; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004840516,0.0002480545,0.0002218642,0.001125531,0.0001792868,0.0005622443,0.0002628729,0.0001848452,0.0007960557],"category_scores_gemma":[0.002119054,0.00009113151,0.0002382503,0.002124671,0.0002118751,0.0003196704,0.0003813651,0.0001920901,0.0001446144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001730654,"about_ca_system_score_gemma":0.0002842934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004127381,"about_ca_topic_score_gemma":0.004877664,"domain_scores_codex":[0.999675,0.0001373055,0.00001688207,0.00008014302,0.00006596529,0.00002454083],"domain_scores_gemma":[0.9988099,0.0006369796,0.00028099,0.00006666604,0.0001575527,0.00004785491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005273854,0.0001394231,0.8251428,0.0003851561,0.0002921735,0.0003278497,0.001729615,0.01053992,0.01531062,0.000635444,0.000876847,0.1440927],"study_design_scores_gemma":[0.00001639082,0.0003818193,0.9657882,0.00003624138,0.0001450276,0.0004880484,0.001397252,0.02437247,0.003568694,0.001565303,0.002206949,0.00003350092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748374,0.000250196,0.02265278,0.00008119879,0.000008358346,0.00003764337,0.0008690945,0.0001341445,0.001129163],"genre_scores_gemma":[0.9839454,0.0001764306,0.01518388,0.00001503944,0.00001101678,0.00003625253,0.00048904,0.000008529473,0.0001343701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004127381,"threshold_uncertainty_score":0.008206725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09203234494089653,"score_gpt":0.2775931785039872,"score_spread":0.1855608335630907,"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."}}