{"id":"W6889173212","doi":"10.25384/sage.c.6075307.v1","title":"An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example","year":2022,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Global Education and Multiculturalism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Probabilistic logic; Cohort; Sensitivity (control systems); Decision analysis; Outcome (game theory); Constant (computer programming); Statistical model; Decision model","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002869014,0.0001965628,0.0004360194,0.0005832351,0.0002967261,0.0002285921,0.0007732758,0.0001560966,0.01366688],"category_scores_gemma":[0.0001792513,0.000189671,0.00008448743,0.001034239,0.0000722813,0.0005606997,0.00007831087,0.0004328859,0.000008555717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008018109,"about_ca_system_score_gemma":0.0003935287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1446707,"about_ca_topic_score_gemma":0.03987425,"domain_scores_codex":[0.996137,0.001895186,0.0002932075,0.0005889583,0.0007666839,0.000318988],"domain_scores_gemma":[0.9985777,0.00007558497,0.0002887671,0.0007854979,0.00008614174,0.0001863248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007498143,0.005844466,0.008248308,0.0002339043,0.007649632,0.0003362829,0.2042566,0.2601185,0.001377864,0.0006584044,0.4490449,0.06148127],"study_design_scores_gemma":[0.001183368,0.00005260512,0.007694151,0.0005206392,0.001243257,0.000003789773,0.01446341,0.005603496,0.000004988753,0.0003757027,0.9679809,0.0008736423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4305409,0.04145463,0.02049018,0.005203373,0.07535603,0.03110829,0.0970047,0.00202347,0.2968185],"genre_scores_gemma":[0.8371239,0.04283681,0.003313493,0.002336972,0.024448,0.0004820703,0.03305418,0.001079876,0.05532475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.518936,"threshold_uncertainty_score":0.9872348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204422156309712,"score_gpt":0.4213236400440178,"score_spread":0.3008814244130466,"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."}}