{"id":"W2739221009","doi":"10.21037/jtd.2017.06.71","title":"Risk markers for excess mortality in adults with congenital heart disease: does one size fit all?","year":2017,"lang":"en","type":"letter","venue":"Journal of Thoracic Disease","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Université de Montréal","funders":"","keywords":"Medicine; Disease; Heart disease; Internal medicine; Cardiology; Pediatrics","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"],"consensus_categories":[],"category_scores_codex":[0.000746974,0.0008219853,0.001862753,0.0003911157,0.0002538498,0.0001827114,0.0005357311,0.0003166132,0.0002356241],"category_scores_gemma":[0.003499191,0.0005444454,0.001180732,0.0001495738,0.0005325671,0.0005241115,0.0001729286,0.001921069,0.000016772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661972,"about_ca_system_score_gemma":0.001665387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007922861,"about_ca_topic_score_gemma":0.0001234092,"domain_scores_codex":[0.995078,0.0003039061,0.001237753,0.0007705716,0.001730814,0.0008789577],"domain_scores_gemma":[0.9939582,0.0009060094,0.001278684,0.001298329,0.001029846,0.001528882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07295373,0.001502407,0.4433599,0.01427655,0.004934772,0.02830036,0.0001678074,0.000004176393,0.000003323957,5.785985e-7,0.4304603,0.004036088],"study_design_scores_gemma":[0.005053556,0.0008159084,0.9103475,0.008853705,0.01540808,0.00009191156,0.0001591933,0.00008526791,0.00000482715,0.0005933664,0.05758727,0.0009994585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7626572,0.006812355,0.0000149384,0.2212465,0.0009410329,0.002842731,0.005235441,0.00005247895,0.0001973755],"genre_scores_gemma":[0.9200196,0.0006438796,0.0006633576,0.06670225,0.006981782,0.0003336053,0.0002564514,0.0002513572,0.004147737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4669875,"threshold_uncertainty_score":0.9997007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300624586270007,"score_gpt":0.3510547614149239,"score_spread":0.3209923027879232,"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."}}