{"id":"W1985454401","doi":"10.1186/cc5303","title":"Continuous glucose monitoring for intensive care patients using whole blood microdialysis","year":2007,"lang":"en","type":"article","venue":"Critical Care","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Microdialysis; Medicine; Continuous glucose monitoring; Critically ill; Intensive care; Intensive care medicine; Blood glucose monitoring; Emergency medicine; Blood Glucose Self-Monitoring; Whole blood; Anesthesia; Diabetes mellitus; Surgery; Internal medicine; Insulin; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005118262,0.0003255997,0.0004606489,0.0001637528,0.0001461347,0.0005062186,0.0002859279,0.0002851303,0.0004750153],"category_scores_gemma":[0.001377527,0.00007483195,0.0001811458,0.0001736834,0.0002098749,0.0002469222,0.0002480196,0.0005852671,0.0001144441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939471,"about_ca_system_score_gemma":0.0003898847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003651954,"about_ca_topic_score_gemma":0.0004140688,"domain_scores_codex":[0.9996238,0.0001338934,0.00002508677,0.00005873425,0.0001211334,0.00003724109],"domain_scores_gemma":[0.9995329,0.0001812777,0.0001172759,0.00003846368,0.00007306672,0.00005709822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003315659,0.0005125257,0.02272896,0.0003539224,0.00006215591,0.0002614475,0.0001542747,0.0006578272,0.858061,0.000265031,0.0005621735,0.1130649],"study_design_scores_gemma":[0.000894546,0.02437452,0.09659217,0.000157176,0.0004133134,0.002099484,0.0003329318,0.01994732,0.8483688,0.0004971316,0.006197683,0.000125009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349791,0.007135797,0.05525451,0.0007725805,0.0002141433,0.000281669,0.0001893973,0.0001492451,0.001023678],"genre_scores_gemma":[0.9581318,0.002966037,0.03772097,0.0004156322,0.0001306676,0.0001577058,0.0001223484,0.000009551224,0.0003452945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005118262,"threshold_uncertainty_score":0.002706826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193138620308737,"score_gpt":0.2638753576004407,"score_spread":0.2519439713973533,"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."}}