{"id":"W2138192406","doi":"10.1177/193229681100500123","title":"Noninvasive Diagnostic Devices for Diabetes through Measuring Tear Glucose","year":2011,"lang":"en","type":"review","venue":"Journal of Diabetes Science and Technology","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Diabetes mellitus; Blood Glucose Self-Monitoring; Diabetes management; Intensive care medicine; Blood glucose monitoring; Diabetes control; Continuous glucose monitoring; Type 2 diabetes; Type 1 diabetes; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0005896178,0.001079196,0.001038059,0.002694962,0.0003857763,0.0007446826,0.001023552,0.001644713,0.003286264],"category_scores_gemma":[0.0007745252,0.0004614686,0.0006824909,0.001395343,0.0006534284,0.001824748,0.000676721,0.001935134,0.004071261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005249025,"about_ca_system_score_gemma":0.0004698829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005925386,"about_ca_topic_score_gemma":0.000981667,"domain_scores_codex":[0.9995908,0.00004163835,0.00003582258,0.00006631098,0.0002381891,0.00002722236],"domain_scores_gemma":[0.9996853,0.0001356159,0.00003960905,0.00001289333,0.0001026779,0.00002393058],"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":[0.00007115939,0.0001262826,0.0002319517,0.009375878,0.00005603316,0.0004411254,0.00008532141,0.00024224,0.01934402,0.005493241,0.02772923,0.9368036],"study_design_scores_gemma":[0.00001271899,0.0001193085,0.0004463424,0.0009936397,0.0000433017,0.002168748,0.00004708445,0.0001339965,0.008050335,0.001310505,0.9866404,0.00003362674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003640645,0.9932775,0.001686728,0.0003635361,0.0008788267,0.00001892343,0.00002372978,0.00003274856,0.003353916],"genre_scores_gemma":[0.002179146,0.9902986,0.002241048,0.0003774218,0.0003897148,0.00003091267,0.00004348253,0.000006593265,0.004433154],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003286264,"threshold_uncertainty_score":0.01099366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03609031203517344,"score_gpt":0.3449689979810718,"score_spread":0.3088786859458984,"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."}}