{"id":"W3123400343","doi":"","title":"Globally optimal trial design for local decision making","year":2009,"lang":"en","type":"article","venue":"Research Online (University of Wollongong)","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"","keywords":"Value of information; Optimal design; Jurisdiction; Sample (material); Sample size determination; Actuarial science; Computer science; Value (mathematics); Operations research; Economics; Mathematics; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1015377,0.002378355,0.006514662,0.002268879,0.0007857659,0.00327199,0.002625857,0.003517447,0.009798309],"category_scores_gemma":[0.1306257,0.001414445,0.002768937,0.001897063,0.004734706,0.003965715,0.004750637,0.005971833,0.001188135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003482345,"about_ca_system_score_gemma":0.005549014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007698745,"about_ca_topic_score_gemma":0.0007048307,"domain_scores_codex":[0.8323683,0.1543576,0.002815387,0.005766481,0.003582173,0.001110198],"domain_scores_gemma":[0.8785605,0.1033984,0.005124895,0.007927906,0.004061167,0.000927194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003155235,0.0002898663,0.002225503,0.001835241,0.001658928,0.0002858537,0.0007173367,0.3537614,0.00115664,0.4460056,0.003267362,0.1856409],"study_design_scores_gemma":[0.001822626,0.001533749,0.000787811,0.0004845659,0.0005488736,0.0001243327,0.0001374151,0.3787721,0.001463042,0.606388,0.007841067,0.00009632511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004091429,0.0004817397,0.9898649,0.0006383028,0.0000938438,0.001745518,0.00008695893,0.0001339968,0.002863307],"genre_scores_gemma":[0.189084,0.0005183935,0.7970259,0.0009614099,0.0001325851,0.009754919,0.0001510405,0.0001296988,0.00224209],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1015377,"threshold_uncertainty_score":0.536989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5793938166268822,"score_gpt":0.5199232753287707,"score_spread":0.05947054129811147,"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."}}