{"id":"W4211057148","doi":"10.2147/ceor.s346736","title":"Sensor-Based Technology: Bringing Value to People with Diabetes and the Healthcare System in an Evolving World","year":2022,"lang":"en","type":"article","venue":"ClinicoEconomics and Outcomes Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Abbott Diabetes Care","keywords":"Telemedicine; Healthcare system; Value (mathematics); Diabetes mellitus; Continuous glucose monitoring; Quality (philosophy); Diabetes treatment","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008542175,0.0001475368,0.0005561291,0.0008638976,0.003058579,0.00004310516,0.0003308575,0.00009730011,0.00004280713],"category_scores_gemma":[0.0003199729,0.0001115215,0.00002923105,0.0008394179,0.0001843132,0.00006677351,0.0005038977,0.001864385,0.00001817149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005540113,"about_ca_system_score_gemma":0.0009018015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250064,"about_ca_topic_score_gemma":0.007008895,"domain_scores_codex":[0.9960004,0.001351138,0.0008224485,0.0005790269,0.0001998822,0.001047111],"domain_scores_gemma":[0.9940004,0.004547735,0.0001816339,0.0006529434,0.0001637808,0.0004534445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001430489,0.00002834488,0.9602503,0.0004964465,0.000005801697,0.00000119452,0.0008585798,0.0001901599,9.982672e-7,0.0312022,0.0001828588,0.006640045],"study_design_scores_gemma":[0.00613722,0.0004915193,0.8577594,0.0002956799,0.00001179444,0.000002145286,0.0454952,0.05952848,0.000001513712,0.001271908,0.02871718,0.0002879671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93476,0.0005623492,0.00001913798,0.05931363,0.0001563051,0.004643342,0.00004159833,0.00007243,0.0004312317],"genre_scores_gemma":[0.981607,0.00007328269,0.0006264708,0.005733148,0.00006884189,0.01152406,0.00001217807,0.00003770202,0.0003173836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1024909,"threshold_uncertainty_score":0.9982393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07887705250147578,"score_gpt":0.4857573155308227,"score_spread":0.4068802630293469,"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."}}