{"id":"W4394297270","doi":"10.6084/m9.figshare.5245534.v1","title":"Cost Effectiveness of G5 Mobile Continuous Glucose Monitoring (CGM) device Compared with Self-Monitoring of Blood Glucose (SMBG) 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":"Continuous glucose monitoring; Perspective (graphical); Blood Glucose Self-Monitoring; Type 2 diabetes; Self-monitoring; Medicine; Type 1 diabetes; Diabetes mellitus; Internal medicine; Computer science; Endocrinology; Psychology; Artificial intelligence; Social psychology","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":[0.003226334,0.0009089654,0.001203816,0.001255433,0.0006142409,0.001488986,0.001372857,0.001053509,0.005019242],"category_scores_gemma":[0.01346085,0.0002939602,0.004898667,0.00202207,0.000553382,0.0008705246,0.001031202,0.001239094,0.0001457709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03374441,"about_ca_system_score_gemma":0.02355938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7430397,"about_ca_topic_score_gemma":0.7399256,"domain_scores_codex":[0.9964129,0.001493005,0.000205225,0.0003449696,0.0009179704,0.0006258895],"domain_scores_gemma":[0.9971604,0.00129637,0.000487703,0.00008214526,0.0005093203,0.0004640103],"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":[0.09155057,0.002859939,0.2270873,0.01162967,0.02353809,0.0006947133,0.0005607694,0.1586781,0.001619442,0.01808158,0.03656197,0.4271379],"study_design_scores_gemma":[0.02191662,0.02385775,0.644988,0.005741635,0.05130155,0.001265203,0.002094061,0.2126534,0.002569025,0.009558881,0.0232862,0.0007677602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8635782,0.0590708,0.002678932,0.01017843,0.0004616397,0.001839118,0.03020808,0.0001426946,0.03184211],"genre_scores_gemma":[0.9890711,0.004133329,0.00203518,0.0007227883,0.00006061264,0.0001891132,0.003125963,0.00001143902,0.0006504466],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2569603,"threshold_uncertainty_score":0.5169471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347418299839156,"score_gpt":0.3298665452541776,"score_spread":0.2863923622557861,"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."}}