{"id":"W3124231772","doi":"10.1089/dia.2020.0667","title":"Benefits of Real-Time Continuous Glucose Monitoring in Pregnancy","year":2021,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Diabetes Management and Research","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Calgary","funders":"","keywords":"Medicine; Pregnancy; Type 1 diabetes; Continuous glucose monitoring; Randomized controlled trial; Type 2 diabetes; Nice; Excellence; Cohort; Diabetes in pregnancy; Diabetes mellitus; Clinical trial; Intensive care medicine; Gestational diabetes; Gestation; Internal medicine; 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":[0.003942037,0.0003200953,0.0006574287,0.000372242,0.0002032661,0.001115381,0.0004452927,0.001047976,0.005011081],"category_scores_gemma":[0.01815643,0.0001335272,0.0008118786,0.0004693593,0.0004495234,0.0007181249,0.0008351419,0.001458816,0.0003814917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006248198,"about_ca_system_score_gemma":0.001034662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551133,"about_ca_topic_score_gemma":0.001090436,"domain_scores_codex":[0.9968706,0.002080515,0.0002063179,0.0002038534,0.0005227797,0.000115986],"domain_scores_gemma":[0.9911457,0.006944385,0.001064126,0.0002344052,0.0003648427,0.0002465567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00304301,0.0002533475,0.01002394,0.007778394,0.0006277273,0.0005678139,0.0003492241,0.00130416,0.0009921414,0.01191906,0.009833326,0.9533079],"study_design_scores_gemma":[0.002908852,0.01030562,0.1964365,0.04161429,0.004853772,0.01445047,0.001249335,0.004053056,0.005537874,0.05452874,0.6637764,0.0002851235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03878351,0.8759248,0.00484512,0.03879806,0.002556406,0.0001122784,0.0008951394,0.0001197738,0.03796498],"genre_scores_gemma":[0.424559,0.5500462,0.007336841,0.009676118,0.004298756,0.0003019521,0.0005045483,0.0000424896,0.003234091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005011081,"threshold_uncertainty_score":0.02084774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228677124438111,"score_gpt":0.2888024234423789,"score_spread":0.2659347109985679,"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."}}