{"id":"W4402765298","doi":"10.1056/evide2400277","title":"Can SGLT2 Inhibitors ERASe Arrhythmias?","year":2024,"lang":"en","type":"letter","venue":"NEJM Evidence","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001614934,0.0004711993,0.0005705884,0.000319807,0.0000523571,0.0001345028,0.0001793044,0.0004309091,0.0004589038],"category_scores_gemma":[0.0001398275,0.0003783039,0.000306515,0.000307284,0.00008911151,0.000126216,0.0001737375,0.0013226,0.0024087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003730491,"about_ca_system_score_gemma":0.0002000729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009053418,"about_ca_topic_score_gemma":0.00002110585,"domain_scores_codex":[0.9975606,0.00004391611,0.0003620351,0.000768196,0.0007156173,0.0005496556],"domain_scores_gemma":[0.9986948,0.0001818716,0.0001087171,0.0008054653,0.0000742875,0.000134841],"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":[0.00001335957,0.00001830836,0.0002376696,0.001561519,0.0002910309,0.01053924,0.00009914305,4.237587e-7,0.00003368954,0.00002686104,0.9747746,0.01240415],"study_design_scores_gemma":[0.0002701786,0.00027184,0.0001395862,0.006393245,0.001288277,0.00004916959,0.0000137441,0.00001133755,0.0002981128,0.0002423623,0.9906946,0.0003275337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002296278,0.01306979,0.000003387987,0.9731148,0.002299098,0.0009559937,0.00002507107,0.0003353048,0.007900235],"genre_scores_gemma":[0.007554139,0.001466402,0.0002359733,0.8196316,0.01239861,0.0002493974,0.0002689252,0.0001336675,0.1580613],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1534832,"threshold_uncertainty_score":0.9998669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191257228652378,"score_gpt":0.2836626159127333,"score_spread":0.2517500436262095,"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."}}