{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113682,0.0002980284,0.000920701,0.0004643577,0.0001704717,0.00005452747,0.0013909,0.0006217024,0.000007709207],"category_scores_gemma":[0.005866203,0.0002063718,0.0002294632,0.0008219065,0.002169025,0.0000233193,0.0005512952,0.0005091651,0.000002250678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007118069,"about_ca_system_score_gemma":0.0007541861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.753599e-7,"about_ca_topic_score_gemma":7.863782e-7,"domain_scores_codex":[0.997818,0.00003200442,0.0005902827,0.0004744524,0.0003917837,0.0006934762],"domain_scores_gemma":[0.9979485,0.0002731199,0.0005354326,0.0003497496,0.0007203766,0.0001727945],"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":[0.00000624107,0.0001786412,0.000767495,0.004259605,0.0002758388,0.000009960493,0.00001430352,1.303266e-8,0.05806335,0.0006233563,0.002064629,0.9337366],"study_design_scores_gemma":[0.0001411104,0.001140532,0.000003789953,0.002397223,0.0001760542,0.00003190689,0.00001361449,6.780578e-7,0.2055049,0.002547158,0.7878161,0.0002269013],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01401425,0.9850163,0.00006472589,0.0001491066,0.0001557061,0.0003655193,0.00001673518,0.0000188071,0.0001988759],"genre_scores_gemma":[0.003433995,0.9921166,0.003940349,0.00009848305,0.0002461047,0.00010214,0.000006438681,0.00002914914,0.00002676575],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9335096,"threshold_uncertainty_score":0.8415597,"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."}}