{"id":"W1586433254","doi":"10.3968/j.pam.1925252820120402.s853","title":"Joint Modeling of All-Cause Mortality and Longitudinally Measured Serum Albumin","year":2012,"lang":"en","type":"article","venue":"Progress in applied mathematics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Dialysis; Multivariate analysis; Statistics; Hemodialysis; Proportional hazards model; Clinical trial; Medicine; Computer science; Internal medicine; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01394489,0.0002133088,0.001056562,0.0002293939,0.00005408568,0.00003886829,0.0001843253,0.000153765,0.00005067875],"category_scores_gemma":[0.0005556375,0.0002539934,0.00006368613,0.0001422736,0.0001054025,0.000223313,0.0001091807,0.0001694151,0.0001023377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841809,"about_ca_system_score_gemma":0.00004053533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004162271,"about_ca_topic_score_gemma":0.00004029335,"domain_scores_codex":[0.9955164,0.00005447621,0.003468252,0.0003329158,0.0001478321,0.0004801132],"domain_scores_gemma":[0.9975113,0.0002286306,0.001543904,0.0005064631,0.00003944382,0.0001702088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001133126,0.0008587076,0.2902594,0.004006494,0.0004350888,8.765147e-7,0.01024705,0.0004211654,0.00001354938,0.6930892,0.0002185325,0.0004386852],"study_design_scores_gemma":[0.003682454,0.0001083756,0.08933759,0.000914461,0.0002563861,0.00002988474,0.007256668,0.5843955,0.0004211998,0.3107206,0.000937523,0.001939349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687989,0.006521137,0.01622463,0.001558261,0.0002165297,0.001383859,0.00008103223,0.00006326422,0.005152384],"genre_scores_gemma":[0.9379532,0.0001229551,0.06134697,0.0002345061,0.00009360415,0.0001913107,0.000006954762,0.00003688205,0.00001361674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5839743,"threshold_uncertainty_score":0.9999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6177498378296518,"score_gpt":0.4553726949962645,"score_spread":0.1623771428333872,"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."}}