{"id":"W6907708011","doi":"10.25384/sage.21150921","title":"sj-pdf-7-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Cohort; Cohort study; Statistical analysis; MEDLINE","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00602045,0.001497241,0.00120509,0.002082761,0.0003962035,0.002565801,0.002103428,0.002121092,0.6688334],"category_scores_gemma":[0.04331333,0.001472981,0.002083824,0.002342871,0.0005237338,0.002547857,0.001917403,0.002086365,0.3871852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182181,"about_ca_system_score_gemma":0.001770455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003214632,"about_ca_topic_score_gemma":0.005651944,"domain_scores_codex":[0.9970627,0.001410042,0.0002480376,0.0003279894,0.0008147238,0.0001363723],"domain_scores_gemma":[0.964519,0.03067356,0.000941543,0.001456759,0.001983874,0.0004252006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007788785,0.000044895,0.0003898545,0.001345117,0.00008798931,0.0001017629,0.00005720732,0.004170919,0.000462083,0.02678718,0.9111069,0.05536818],"study_design_scores_gemma":[0.0003748031,0.00008382511,0.001239861,0.0008905072,0.00008599944,0.0003891728,0.00004482622,0.01520252,0.001936537,0.07839087,0.90127,0.00009115876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001269166,0.002698337,0.4269022,0.007289006,0.001479163,0.0009811878,0.2983707,0.0719194,0.1890908],"genre_scores_gemma":[0.04147741,0.006086481,0.4484461,0.007055057,0.001641102,0.005823931,0.1786776,0.1152828,0.1955094],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6688334,"threshold_uncertainty_score":0.4723689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2213778857077405,"score_gpt":0.4381728732261409,"score_spread":0.2167949875184004,"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."}}