{"id":"W1987378502","doi":"10.2165/11587130-000000000-00000","title":"Sample Size Determination for Cost-Effectiveness Trials","year":2011,"lang":"en","type":"review","venue":"PharmacoEconomics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"","keywords":"Sample size determination; Bayesian probability; Cost effectiveness; Computer science; Sample (material); Value of information; Health administration; Decision theory; Statistics; Econometrics; Mathematics; Medicine; Public health; Artificial intelligence","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","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.06286071,0.00087024,0.009493123,0.0006508834,0.0002965921,0.0002157451,0.0009261249,0.0006713125,0.001865095],"category_scores_gemma":[0.03071376,0.00107813,0.001950399,0.0001788065,0.00009113688,0.0007280405,0.0001281966,0.0004396002,0.003209454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002403248,"about_ca_system_score_gemma":0.0006812317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002886604,"about_ca_topic_score_gemma":0.00002108619,"domain_scores_codex":[0.9833286,0.002141326,0.01214024,0.001496367,0.00005210213,0.0008413132],"domain_scores_gemma":[0.9323741,0.05437997,0.01188829,0.0008680297,0.0001149998,0.0003745771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000929539,0.0002569338,0.00007599322,0.05629457,0.00124654,9.310601e-7,0.0003665801,0.00001992535,1.746435e-7,0.08199894,0.02256017,0.8370863],"study_design_scores_gemma":[0.00154506,0.00006459742,0.000009255021,0.001291491,0.0004309948,0.00000891221,0.00002198982,0.001061188,0.000002617934,0.01741842,0.9771377,0.001007794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000138538,0.9418697,0.02817064,0.000387793,0.00419521,0.01219216,0.01175997,0.0001304934,0.001280154],"genre_scores_gemma":[0.00001755394,0.9773286,0.008643915,0.002166088,0.001876049,0.008756256,0.0006139462,0.0002677623,0.0003298067],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9545775,"threshold_uncertainty_score":0.9991669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.830530749302641,"score_gpt":0.6175450279615677,"score_spread":0.2129857213410733,"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."}}