{"id":"W2033640301","doi":"10.1186/1471-2288-13-114","title":"Heterogeneity and event dependence in the analysis of sickness absence","year":2013,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Frailty in Older Adults","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Duration (music); Context (archaeology); Event (particle physics); Poisson distribution; Set (abstract data type); Econometrics; Poisson regression; Survival analysis; Conditional probability; Psychology; Public health; Medicine; Computer science; Statistics; Population; Environmental health; Geography; Economics; Mathematics; Internal medicine","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02634859,0.0001013179,0.0006156319,0.0005512612,0.00004732566,0.00001023987,0.0004859816,0.000220582,0.001029682],"category_scores_gemma":[0.08116497,0.00006121625,0.0001062724,0.001530693,0.00116413,0.00004989468,0.0002607341,0.000823444,0.00002897897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004202334,"about_ca_system_score_gemma":0.0004513996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004334293,"about_ca_topic_score_gemma":0.01124143,"domain_scores_codex":[0.9867342,0.009942625,0.0004831171,0.0003934085,0.001927848,0.0005188218],"domain_scores_gemma":[0.96087,0.03771073,0.00006718815,0.0006408425,0.0003481726,0.0003630715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003344781,0.0005090768,0.817313,0.0006047557,0.000511087,0.0002431155,0.002726422,0.00004535538,0.006722948,0.002250994,0.000852215,0.1678865],"study_design_scores_gemma":[0.0006680257,0.0002392399,0.9843337,0.00009920801,0.00009673856,0.000100193,0.001055315,0.01071465,0.001155754,0.001307697,0.0001680271,0.00006145413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630099,0.0006673806,0.0313592,0.004114982,0.00004668672,0.0005264102,0.000002192041,0.000008384206,0.0002648765],"genre_scores_gemma":[0.9767959,0.0003808405,0.02209855,0.0004322885,0.00004838662,0.0001309274,0.000005570919,0.000006870684,0.0001006862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1678251,"threshold_uncertainty_score":0.9998835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4047481177464166,"score_gpt":0.5467519255641723,"score_spread":0.1420038078177557,"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."}}