{"id":"W1492616518","doi":"10.1002/hec.1781","title":"ACCOUNTING FOR BETWEEN‐STUDY VARIATION IN INCREMENTAL NET BENEFIT IN VALUE OF INFORMATION METHODOLOGY","year":2011,"lang":"en","type":"article","venue":"Health Economics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sample size determination; Variation (astronomy); Econometrics; Statistics; Sample (material); Net gain; Net (polyhedron); Value (mathematics); Net present value; Mathematics; Economics; Computer science; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1698385,0.002450896,0.003528007,0.003701482,0.0008229418,0.00381711,0.003494311,0.004310165,0.003201788],"category_scores_gemma":[0.365124,0.001499314,0.003624644,0.004022077,0.00508725,0.005140258,0.003767017,0.006139858,0.0005042665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003844391,"about_ca_system_score_gemma":0.005103035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002199086,"about_ca_topic_score_gemma":0.001720689,"domain_scores_codex":[0.7993262,0.1806003,0.003731234,0.004796132,0.01054635,0.0009997295],"domain_scores_gemma":[0.5227665,0.4483571,0.009781809,0.01488663,0.003762596,0.0004453355],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008046632,0.0002005793,0.004354474,0.00166947,0.002295502,0.0003535154,0.0006627339,0.2465185,0.001093541,0.5526332,0.003003502,0.1864104],"study_design_scores_gemma":[0.0001710899,0.0003805192,0.001088159,0.0003764226,0.0004463124,0.0001565716,0.00005100218,0.2720504,0.001191511,0.7198762,0.004110378,0.0001014317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002351538,0.001004037,0.9945163,0.0006545148,0.00007666132,0.0002559409,0.00004603166,0.00006432006,0.001030638],"genre_scores_gemma":[0.2193866,0.002065137,0.7732484,0.001034981,0.0003744842,0.002366108,0.0001456712,0.0001446468,0.001234037],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8301616,"threshold_uncertainty_score":0.8982024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7584255852675267,"score_gpt":0.5746853839259253,"score_spread":0.1837402013416014,"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."}}