{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002856633,0.0002115043,0.0003019715,0.0008293277,0.0001070137,0.00002121523,0.0002757344,0.0002799087,0.0001754583],"category_scores_gemma":[0.00002997067,0.0001828819,0.0001167138,0.001068394,0.0003185575,0.0001627933,0.0001760136,0.0005144917,0.00008469578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002417588,"about_ca_system_score_gemma":0.00002386017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005104026,"about_ca_topic_score_gemma":0.000001781374,"domain_scores_codex":[0.9984255,0.00003318575,0.0002312331,0.0003652263,0.0002955347,0.0006493503],"domain_scores_gemma":[0.9990833,0.00004643518,0.00007277959,0.000625098,0.00008358432,0.00008882931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006169713,0.001180029,0.8172205,0.00009239327,0.001678623,0.0000348643,0.0003929707,2.581967e-7,0.06500529,0.01537363,0.00003924069,0.09892049],"study_design_scores_gemma":[0.003663305,0.001966616,0.6344301,0.0001671177,0.00190363,0.000003439045,0.0002592184,0.0009488264,0.3087577,0.01770059,0.02958549,0.0006139989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930073,0.001053287,0.00008566803,0.001847857,0.0001845581,0.000395423,0.000001789992,0.0005970758,0.002827042],"genre_scores_gemma":[0.9960015,0.000683654,0.002075414,0.0006871958,0.00007673894,0.0001233523,0.00001019881,0.0000486897,0.0002932256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2437524,"threshold_uncertainty_score":0.7457707,"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."}}