{"id":"W2955348236","doi":"10.1186/s12962-019-0182-7","title":"A technique for approximating transition rates from published survival analyses","year":2019,"lang":"en","type":"article","venue":"Cost Effectiveness and Resource Allocation","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Health administration; Health services research; Medicine; Public health; Quality of Life Research; Health economics; Transition (genetics); Health informatics; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.01031174,0.0001590921,0.0006729559,0.0002110425,0.0001774029,0.000149089,0.0001191464,0.0001553273,0.00005972348],"category_scores_gemma":[0.001275464,0.0001802643,0.00009237943,0.0001764927,0.00003742946,0.0004551874,0.00002019921,0.0001042383,0.00005880929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054251,"about_ca_system_score_gemma":0.00004129323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00068386,"about_ca_topic_score_gemma":0.00002323621,"domain_scores_codex":[0.9974287,0.000486922,0.001254924,0.0005529206,0.00006084672,0.0002156815],"domain_scores_gemma":[0.9964381,0.002309664,0.0007929752,0.0002921635,0.00008840759,0.00007865093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002363139,0.001729461,0.4558439,0.02055651,0.002487751,0.000002339603,0.02619245,0.03838068,0.102866,0.321853,0.004395411,0.0233294],"study_design_scores_gemma":[0.0109031,0.0007880472,0.5483412,0.001873797,0.0001476495,0.000008388073,0.008626328,0.2812411,0.01743862,0.09538198,0.03292412,0.002325705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.563656,0.0008669966,0.428209,0.00306849,0.0001865503,0.003228223,0.0001666863,0.00005263185,0.0005653693],"genre_scores_gemma":[0.9951842,0.00001769067,0.002320015,0.0006035996,0.0001752472,0.001251008,0.0003804789,0.00003044914,0.00003727422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4315282,"threshold_uncertainty_score":0.7350963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2452329472873921,"score_gpt":0.4345813217603998,"score_spread":0.1893483744730077,"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."}}