{"id":"W4281748086","doi":"10.3389/fcvm.2022.832770","title":"Prognostic Impact of Blood Pressure Change Patterns on Patients With Aortic Dissection After Admission","year":2022,"lang":"en","type":"article","venue":"Frontiers in Cardiovascular Medicine","topic":"Aortic Disease and Treatment Approaches","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Dalhousie University; University of Waterloo","funders":"School of Medicine, Shanghai Jiao Tong University; Shanghai Jiao Tong University; Shanghai Municipal Health Bureau; National Natural Science Foundation of China","keywords":"Medicine; Blood pressure; Incidence (geometry); Aortic dissection; Logistic regression; Internal medicine; Cardiology; Adverse effect; Surgery; Aorta","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":[],"consensus_categories":[],"category_scores_codex":[0.0002251189,0.0002391591,0.0007226898,0.0002968777,0.00005467833,0.000002793601,0.00007515824,0.00005046298,0.0002062283],"category_scores_gemma":[0.00006558731,0.0001525341,0.000409002,0.0003662496,0.00006733929,0.00006483318,0.0000443752,0.0002235131,6.696143e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009240657,"about_ca_system_score_gemma":0.00006479034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001687508,"about_ca_topic_score_gemma":0.000001594043,"domain_scores_codex":[0.9979295,0.0001323717,0.0002734574,0.0003952727,0.001001658,0.0002677542],"domain_scores_gemma":[0.9990904,0.00001887763,0.00009234076,0.0005491555,0.00006084426,0.0001883672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001921117,0.001306583,0.9789649,0.0002435918,0.006188261,0.0002711482,0.00069509,0.0001420284,0.000002625194,6.594105e-7,0.0002001621,0.01006383],"study_design_scores_gemma":[0.007410978,0.004391646,0.9771199,0.0004835351,0.00972894,0.00001976146,0.0003336471,0.0001855268,0.00002250466,0.000009809409,0.0001543244,0.0001394757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784849,0.01913531,0.000216203,0.00007372697,0.0002480665,0.00162509,0.00004975277,0.00003219806,0.0001347832],"genre_scores_gemma":[0.9985654,0.0000472108,0.00009045232,0.00005275463,0.0001426807,0.0007181105,0.0002876781,0.00004006859,0.00005560648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02008057,"threshold_uncertainty_score":0.622016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116995361568226,"score_gpt":0.2342457229412621,"score_spread":0.2230757693255798,"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."}}