{"id":"W4381376761","doi":"10.2337/db23-135-lb","title":"135-LB: A Variable Impact of the Wave 1 and Wave 2 Lockdowns of the COVID-19 Pandemic on Glycemic Control—A Longitudinal Analysis of FGM Adult Users From Poland","year":2023,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycemic; Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; Quarter (Canadian coin); Diabetes mellitus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Longitudinal study; Demography; Gerontology; Disease; Internal medicine; Geography; Endocrinology; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008356582,0.0002360579,0.0002881401,0.0005047438,0.0004297729,0.0007714895,0.0003436304,0.0003772838,0.002064264],"category_scores_gemma":[0.001988382,0.0002950544,0.0009605364,0.001006767,0.0001932666,0.0005124242,0.0007906258,0.0007673523,0.0003396939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005559272,"about_ca_system_score_gemma":0.0007946145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02910033,"about_ca_topic_score_gemma":0.02516274,"domain_scores_codex":[0.999519,0.00009701074,0.00005961436,0.0001010717,0.00007778983,0.0001455001],"domain_scores_gemma":[0.9992403,0.00009684505,0.0003316043,0.00007924929,0.0001026653,0.0001492824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002048274,0.00003710472,0.99755,0.00001512747,0.00005930997,0.00004554007,0.0001996345,0.0000165624,0.00008750771,0.00001283093,0.0001696182,0.001602024],"study_design_scores_gemma":[0.000003622368,0.00005794097,0.9993285,0.00000927725,0.00002742017,0.00004333176,0.0002707293,0.00005228124,0.00002007118,0.000006852583,0.0001770152,0.000002901655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998624,0.000145407,0.00005210611,0.00005746274,0.000004465523,0.00001009875,0.0008537805,0.0000016509,0.0002509379],"genre_scores_gemma":[0.998154,0.000109654,0.0001056813,0.00005329912,0.000005422773,0.00002058656,0.001193807,0.000003585431,0.0003539024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02910033,"threshold_uncertainty_score":0.05786186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.042103815893416,"score_gpt":0.3115677235571903,"score_spread":0.2694639076637743,"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."}}