{"id":"W1997972013","doi":"10.1016/j.jcjd.2015.04.002","title":"A Smartphone-Based Cloud Computing Tool for Managing Type 1 Diabetes in Ontarians","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Medicine; Scopus; Diabetes mellitus; Type 2 diabetes; Gerontology; Insulin resistance; Family medicine; Health care; MEDLINE; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004220894,0.0003302213,0.0003172834,0.0006283617,0.0005937048,0.0007665969,0.0004379665,0.0004586789,0.01254079],"category_scores_gemma":[0.003024129,0.0001313987,0.0003688749,0.0005812493,0.0001023602,0.0005418564,0.0009069921,0.0004166452,0.001938036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003376442,"about_ca_system_score_gemma":0.001178539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006520933,"about_ca_topic_score_gemma":0.01414228,"domain_scores_codex":[0.9996444,0.0001159253,0.00004586273,0.00004067741,0.00007648875,0.00007665246],"domain_scores_gemma":[0.9985167,0.0005516896,0.0001375914,0.00006968887,0.0002258833,0.000498353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003311148,0.002977011,0.117706,0.0008336784,0.0001299531,0.003305103,0.002127005,0.0003316563,0.006082636,0.0003992904,0.08096639,0.7818302],"study_design_scores_gemma":[0.002499114,0.01061826,0.716613,0.003061648,0.001462767,0.01379049,0.01571275,0.02093366,0.01165537,0.003180766,0.1998855,0.0005867033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389773,0.003863545,0.007576353,0.007116686,0.0006992331,0.001024094,0.003990182,0.003559971,0.03319254],"genre_scores_gemma":[0.9542475,0.003192697,0.02640012,0.003007723,0.0004146908,0.0005392056,0.001051145,0.0001645163,0.01098241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9934791,"threshold_uncertainty_score":0.04195309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408881414374283,"score_gpt":0.2734311663420245,"score_spread":0.2393423521982816,"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."}}