{"id":"W1975828888","doi":"10.1089/152091501750220055","title":"Accuracy of Glucose Meter Use in Gestational Diabetes","year":2001,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alexandra Hospital","funders":"","keywords":"Medicine; Gestational diabetes; Glucose meter; Diabetes mellitus; Reference range; Gestational age; Statistics; Gestation; Internal medicine; Pregnancy; Endocrinology; Mathematics","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":[0.0002489146,0.0001948581,0.000373382,0.0009672976,0.00003918298,0.00002028866,0.0002272927,0.0001929094,0.0001099463],"category_scores_gemma":[0.0002846563,0.000178277,0.00008980589,0.0009981622,0.0003239783,0.0001927379,0.0001126888,0.000327925,0.000038318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007867163,"about_ca_system_score_gemma":0.00008039427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006488349,"about_ca_topic_score_gemma":0.00001528703,"domain_scores_codex":[0.9982705,0.00005117854,0.0004063193,0.0003005285,0.0003714459,0.000599994],"domain_scores_gemma":[0.9985802,0.0005070345,0.0001288863,0.0004405574,0.0002653289,0.00007805032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003935723,0.000433155,0.8535383,0.00009179855,0.0002925214,0.00001681748,0.00004294205,0.00002041829,0.08862611,0.002317693,0.00009697286,0.05448389],"study_design_scores_gemma":[0.00250522,0.0007828128,0.803448,0.000194189,0.0001883441,0.000002606296,0.000166047,0.002259172,0.1492229,0.01130164,0.02963045,0.0002986601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927846,0.001701104,0.00005530698,0.004480571,0.00004693032,0.0005200285,0.00002219351,0.0001110645,0.0002781796],"genre_scores_gemma":[0.9930658,0.001136111,0.00343825,0.001833256,0.00001829218,0.0001206716,0.00009379287,0.00003131079,0.0002624824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06059679,"threshold_uncertainty_score":0.7269924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650520991329639,"score_gpt":0.3116206398010171,"score_spread":0.2751154298877207,"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."}}