{"id":"W4283033968","doi":"10.1136/openhrt-2021-001923","title":"Temporal trends of aortic stenosis and comorbid chronic kidney disease in the province of Quebec, Canada","year":2022,"lang":"en","type":"article","venue":"Open Heart","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Institut National de Santé Publique du Québec; Université Laval","funders":"","keywords":"Medicine; Kidney disease; Dialysis; Poisson regression; Population; Internal medicine; Subgroup analysis; Cohort; Demography; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009249538,0.00006532553,0.000221399,0.00003436618,0.00004881507,0.000008526405,0.00008887116,0.000006425466,0.0003141],"category_scores_gemma":[0.00001786929,0.0000476291,0.0001047699,0.0001516758,0.00003382853,0.00003396189,0.0001252788,0.00005679662,2.840692e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711894,"about_ca_system_score_gemma":0.002085019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8518046,"about_ca_topic_score_gemma":0.3345727,"domain_scores_codex":[0.9992877,0.00007775448,0.0001552866,0.0001288778,0.0002445265,0.0001058009],"domain_scores_gemma":[0.9995245,0.00002616899,0.00004734494,0.0002480602,0.00001537434,0.0001385004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002264986,0.0002791919,0.9791977,0.00009931695,0.00007898727,0.00005670371,0.0000517529,0.000007792288,0.00002024347,0.00002281154,0.01859408,0.001364923],"study_design_scores_gemma":[0.001348901,0.0001587845,0.9898313,0.00004462928,0.0001978193,0.000001684868,0.0001697706,0.00004572982,0.0000205979,0.000005227908,0.008130962,0.00004458916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945913,0.0006049877,5.522273e-8,0.003332123,0.00003792571,0.0004567752,0.0003577507,0.000001685708,0.0006174185],"genre_scores_gemma":[0.9980714,0.00001086403,0.000005239372,0.0005455147,0.0000107484,0.0000830208,0.0001227281,0.000006894922,0.001143598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5172319,"threshold_uncertainty_score":0.6775696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397111918801761,"score_gpt":0.3122450256015887,"score_spread":0.298273906413571,"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."}}