{"id":"W4402764669","doi":"10.1056/evide2400283","title":"Getting Diabetes Technologies into the Hands of Those Who Need Them Most","year":2024,"lang":"en","type":"editorial","venue":"NEJM Evidence","topic":"Diabetes Management and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Diabetes mellitus; 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":[0.02045334,0.005103688,0.007559365,0.005500049,0.004621779,0.013035,0.005468789,0.02756755,0.02392667],"category_scores_gemma":[0.06525549,0.00254168,0.00487937,0.003098291,0.003112978,0.006693523,0.001922189,0.03763144,0.01703093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005247218,"about_ca_system_score_gemma":0.008756436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004036709,"about_ca_topic_score_gemma":0.01541974,"domain_scores_codex":[0.984369,0.003664112,0.002237119,0.0008871875,0.007990844,0.0008517272],"domain_scores_gemma":[0.9443231,0.02825604,0.003246825,0.001243771,0.01560708,0.007323246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006564327,0.00002009131,0.00001955468,0.0005197163,0.00004234261,0.00004522413,0.000009996312,0.00001641047,0.00003004242,0.0003398777,0.9933625,0.005528547],"study_design_scores_gemma":[0.0003831276,0.00007671684,0.0003742123,0.002217472,0.0003124433,0.0001314629,0.00007214892,0.0001409598,0.000133251,0.002509166,0.9936016,0.00004756657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002203534,0.005413045,0.00008617719,0.04008335,0.9520135,0.0000432755,0.00007750346,0.00004811831,0.002212979],"genre_scores_gemma":[0.0003080765,0.006878749,0.0002079695,0.04317203,0.9400089,0.00006407167,0.00004494984,0.0000424903,0.0092729],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02756755,"threshold_uncertainty_score":0.1081688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348363370787413,"score_gpt":0.3386504349978205,"score_spread":0.3051668012899464,"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."}}