{"id":"W3118457748","doi":"10.21203/rs.3.rs-132385/v1","title":"Economic Evaluation of Remote Patient Monitoring System in Patients With Type 2 Diabetes","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Population; Type 2 diabetes; Diabetes mellitus; Quarter (Canadian coin); Health care; Emergency medicine; Medical emergency; Intensive care medicine; Environmental health; Geography","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005901907,0.0002193496,0.0005552632,0.0005342085,0.0003465546,0.00002565338,0.0003414493,0.0005643743,0.0002059604],"category_scores_gemma":[0.00143391,0.0002016739,0.00006128145,0.0004197446,0.00008374386,0.0001002386,0.000899325,0.002595325,0.0001320769],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005435627,"about_ca_system_score_gemma":0.004445799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008142689,"about_ca_topic_score_gemma":0.003029731,"domain_scores_codex":[0.9903916,0.004938676,0.001164073,0.0006714614,0.001956471,0.0008777234],"domain_scores_gemma":[0.9913874,0.0009445308,0.0004673417,0.001010401,0.006015142,0.0001751579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001155398,0.00006102617,0.9558394,0.005759119,0.00002962521,0.000002344914,0.005437764,0.004155566,0.000007673059,0.00002727935,0.00003735138,0.02852734],"study_design_scores_gemma":[0.0005502814,0.0007230277,0.8506805,0.04496681,0.00003856433,5.180303e-8,0.05981888,0.04120046,0.001236141,0.000322313,0.00008988557,0.0003730891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913196,0.0009717877,0.000003180206,0.00005927011,0.00188745,0.004840116,0.00006730406,0.0000390803,0.0008122279],"genre_scores_gemma":[0.9987594,0.00007925867,0.0002705205,0.000003686696,0.0002773977,0.0003563309,0.0001799735,0.00005760803,0.00001577339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051589,"threshold_uncertainty_score":0.9997057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3030091439683779,"score_gpt":0.5509304578491391,"score_spread":0.2479213138807612,"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."}}