{"id":"W2045852813","doi":"10.1016/j.cmpb.2014.12.006","title":"Assessment of health status over time by Prevalence and Weighted Prevalence functions: Interface in R","year":2015,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institut pour la Recherche en Santé Publique; Terry Fox Research Institute","keywords":"Descriptive statistics; Medicine; Statistics; Confidence interval; Quality of life (healthcare); Survival analysis; Event (particle physics); Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01478197,0.0002063615,0.0009232868,0.0001684046,0.00002207203,0.00002378522,0.0001558958,0.0001231176,0.0000386322],"category_scores_gemma":[0.003361732,0.0001571481,0.0000286686,0.0005080657,0.0004605268,0.00006968603,0.0002312338,0.0002980313,5.18995e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008455665,"about_ca_system_score_gemma":0.00009242632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006050392,"about_ca_topic_score_gemma":0.000001897366,"domain_scores_codex":[0.9942816,0.003225082,0.001308227,0.0005047342,0.0003172485,0.0003630465],"domain_scores_gemma":[0.9887908,0.01016441,0.0003784487,0.0003222515,0.0000896785,0.00025442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005887382,0.0004885923,0.06301199,0.001854744,0.00003187174,0.000002356152,0.0005357476,3.194725e-7,0.0001403617,0.001006715,0.0008817091,0.9319867],"study_design_scores_gemma":[0.01305656,0.01094222,0.221305,0.007906243,0.000186191,0.00002931671,0.0002515423,0.08155283,0.0001622896,0.656006,0.007730187,0.0008715728],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05422942,0.005713534,0.9380139,0.0003887794,0.000445963,0.001065461,0.00003640738,0.000040921,0.0000656679],"genre_scores_gemma":[0.007753477,0.0009508513,0.9909745,0.00009699357,0.00006592186,0.00004756844,0.00000433285,0.00001686148,0.00008951243],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9311152,"threshold_uncertainty_score":0.6408312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4045250897444877,"score_gpt":0.5868299005714225,"score_spread":0.1823048108269348,"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."}}