{"id":"W4387338225","doi":"10.1016/j.cjca.2023.06.358","title":"SPATIAL TRANSCRIPTOMIC ANALYSIS OF MICROVASCULAR ENDOTHELIAL CELLS IN DIABETIC AND NON-DIABETIC MICE: INSIGHT INTO DIFFERENTIAL RESPONSES TO HYPERGLYCEMIA IN DIFFERENT TARGET ORGANS OF DIABETES","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetes mellitus; Diabetic retinopathy; Diabetic nephropathy; Diabetic cardiomyopathy; Nephropathy; Basal (medicine); Internal medicine; Retinopathy; Endocrinology; Cardiology; Cardiomyopathy; Heart failure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004574394,0.0002177148,0.001941603,0.004122595,0.00002854524,0.00001128161,0.000185764,0.0001426868,0.00002788035],"category_scores_gemma":[0.0002578915,0.0001817988,0.0005327322,0.001392676,0.0002461282,0.00003528348,0.00002055764,0.0003127285,0.000001757519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618897,"about_ca_system_score_gemma":0.0004231654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00332185,"about_ca_topic_score_gemma":0.005327693,"domain_scores_codex":[0.9978828,0.0003575093,0.0008654047,0.0002538358,0.0001985339,0.0004418491],"domain_scores_gemma":[0.9987512,0.0002271721,0.0001897595,0.0002317234,0.0001619422,0.0004381686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001340245,0.000009206206,0.5630033,0.00007707522,0.001021776,0.000101169,0.00128874,0.0008864641,0.4330196,6.823706e-7,0.000053599,0.0004043479],"study_design_scores_gemma":[0.00193875,0.0004101972,0.8966858,0.0002070601,0.002271679,0.000009810615,0.000264863,0.001013224,0.09672882,0.00003084016,0.0002743375,0.000164588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980164,0.0004576767,0.0003687044,0.0006994239,0.0002111526,0.0001420503,0.00007528334,0.000003050564,0.00002632053],"genre_scores_gemma":[0.9994777,0.0001272724,0.00009719424,0.00007182668,0.0001505561,0.000004679443,0.00002238646,0.00002241771,0.00002600796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3362908,"threshold_uncertainty_score":0.7413539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00646930010530546,"score_gpt":0.2233198833784829,"score_spread":0.2168505832731774,"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."}}