{"id":"W3123899533","doi":"10.1111/insr.12008","title":"Minimax‐Optimal Strength of Statistical Evidence for a Composite Alternative Hypothesis","year":2013,"lang":"fr","type":"article","venue":"International Statistical Review","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematics; Minimax; Frequentist inference; Bayes factor; Statistics; Randomness; Bayes' theorem; Prior probability; Posterior probability; Applied mathematics; Bayesian probability; Mathematical optimization; Bayesian inference","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":["insufficient_payload"],"category_scores_codex":[0.003731583,0.0007027936,0.002509863,0.0001275403,0.00009779665,0.0001604446,0.001276127,0.0003151431,0.03395405],"category_scores_gemma":[0.3883157,0.0006399306,0.0005543046,0.0002836363,0.001447302,0.0003751709,0.000372666,0.0006403259,0.00120487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000365999,"about_ca_system_score_gemma":0.0002881117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003601997,"about_ca_topic_score_gemma":0.000007229269,"domain_scores_codex":[0.9902648,0.001973133,0.004130933,0.00109579,0.001659358,0.000876023],"domain_scores_gemma":[0.7236271,0.2722608,0.001221273,0.0005803757,0.001745512,0.0005649036],"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":[0.0002351511,0.0008566403,0.00005643018,0.009264394,0.0006816644,0.00003092853,0.00003632368,0.000004594113,0.00007229962,0.5650209,0.07061898,0.3531218],"study_design_scores_gemma":[0.001559306,0.0009977019,0.001447943,0.03053492,0.001872924,0.00004256801,0.00002597164,0.01591809,0.0003591127,0.916495,0.02997915,0.000767335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002054071,0.02763427,0.934717,0.01095078,0.002952297,0.00370675,0.01799473,0.00004612313,0.001792614],"genre_scores_gemma":[0.002006244,0.03978702,0.9526131,0.001494505,0.0008284503,0.0008616552,0.00008073149,0.0001083482,0.002219921],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3845841,"threshold_uncertainty_score":0.9996052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6110049862240545,"score_gpt":0.5925262097017526,"score_spread":0.0184787765223019,"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."}}