{"id":"W4205306193","doi":"10.1111/dom.14000","title":"Cover Image, Volume 22, Issue 3","year":2020,"lang":"en","type":"paratext","venue":"Diabetes Obesity and Metabolism","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; Toronto General Hospital","funders":"","keywords":"Cover (algebra); Semaglutide; Type 2 diabetes; Front cover; Image (mathematics); Volume (thermodynamics); Medicine; Computer science; Artificial intelligence; Diabetes mellitus; Engineering; Physics; Mechanical engineering; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002836507,0.001125611,0.0009065174,0.001512492,0.0009023241,0.004346831,0.0009729558,0.002222673,0.8954498],"category_scores_gemma":[0.00225974,0.0004373063,0.0008719673,0.0009871997,0.0004606527,0.001883601,0.00140332,0.002382324,0.7630238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008250995,"about_ca_system_score_gemma":0.0006470035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900607,"about_ca_topic_score_gemma":0.003414885,"domain_scores_codex":[0.9997681,0.0000203262,0.000009557394,0.00003235924,0.0001237758,0.0000458559],"domain_scores_gemma":[0.998979,0.0002013467,0.00004700417,0.00006328476,0.0003112405,0.0003981443],"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":[0.00002109853,0.00001098961,0.00001420467,0.00004478314,9.026786e-7,0.00002605535,0.000002125877,0.00001289681,0.0001221314,0.0001529248,0.9861615,0.01343044],"study_design_scores_gemma":[0.00002988171,0.00001994498,0.0002849725,0.00007746957,0.000001831919,0.0001391439,0.0000110095,0.00007400995,0.0001376202,0.0003357633,0.9988834,0.000004970548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004191007,0.002254582,0.000812186,0.007798595,0.04141899,0.0003044928,0.005937755,0.003394047,0.9376603],"genre_scores_gemma":[0.001330117,0.001027858,0.0003845324,0.002592525,0.007019086,0.00007554678,0.002038353,0.0006472025,0.9848847],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1045502,"threshold_uncertainty_score":0.1491281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005847285509191481,"score_gpt":0.2272389841870014,"score_spread":0.22139169867781,"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."}}