{"id":"W4394173818","doi":"10.6084/m9.figshare.5245534","title":"Cost-effectiveness of G5 Mobile continuous glucose monitoring device compared to self-monitoring of blood glucose alone for people with type 1 diabetes from the Canadian societal perspective","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Continuous glucose monitoring; Blood glucose monitoring; Self-monitoring; Type 2 diabetes; Blood Glucose Self-Monitoring; Diabetes mellitus; Business; Medicine; Type 1 diabetes; Computer science; Psychology; Endocrinology; Social psychology; Artificial intelligence","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":[0.00307308,0.0008993719,0.00132718,0.001274258,0.0006458505,0.001529241,0.001342968,0.0011978,0.005657582],"category_scores_gemma":[0.01341026,0.0002849849,0.005350867,0.002036827,0.0005373739,0.0008170841,0.001057186,0.001303251,0.0001621922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03100518,"about_ca_system_score_gemma":0.0244428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7459789,"about_ca_topic_score_gemma":0.753844,"domain_scores_codex":[0.9964545,0.001492745,0.0002122285,0.0003377592,0.0009234739,0.0005793382],"domain_scores_gemma":[0.9973592,0.001127721,0.0004617348,0.00007827017,0.0004712498,0.0005017076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.09949324,0.003321651,0.2050753,0.01254631,0.02332436,0.0006792124,0.0005195395,0.1162909,0.001572656,0.01533185,0.03740218,0.4844427],"study_design_scores_gemma":[0.02658149,0.02664906,0.670158,0.006791878,0.05425518,0.001207322,0.002017896,0.1771367,0.002212744,0.007549929,0.02470726,0.0007323985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8451403,0.06998805,0.002670965,0.01157032,0.0005920803,0.002209435,0.03096552,0.0001583825,0.03670485],"genre_scores_gemma":[0.9875913,0.004980846,0.002324492,0.0009125693,0.00007372144,0.0002214451,0.003179006,0.00001200744,0.0007046256],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2540211,"threshold_uncertainty_score":0.5110341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05759258512227865,"score_gpt":0.3524420699113064,"score_spread":0.2948494847890278,"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."}}