{"id":"W3121261082","doi":"10.2139/ssrn.3569329","title":"Trade-Off between Anytime- and Sometime-Valid Methods for Merging P-Values","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Econometrics; Economics; Business","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"],"consensus_categories":[],"category_scores_codex":[0.01671475,0.0002989668,0.001018972,0.00008438408,0.0002838015,0.00009923326,0.0003980258,0.0002045343,0.00006264123],"category_scores_gemma":[0.06146674,0.0002516043,0.0003151254,0.0002488903,0.000148485,0.0001314152,0.00009177318,0.001994578,0.000006526048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151629,"about_ca_system_score_gemma":0.0005980168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001636814,"about_ca_topic_score_gemma":0.000001013324,"domain_scores_codex":[0.9943629,0.001708802,0.001117031,0.0004528124,0.0003173925,0.002041081],"domain_scores_gemma":[0.9654131,0.03343615,0.0004714502,0.0002129856,0.00007784716,0.0003884593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001804578,0.00005534961,0.0002935317,0.0001057522,0.0007495058,0.000002291913,0.0004477563,0.000001143687,0.0009832922,0.3697578,0.0007514925,0.6266716],"study_design_scores_gemma":[0.001565992,0.0009137568,0.00007173574,0.00003595304,0.0005204895,0.0000486383,0.0003813481,0.0008750383,0.001685096,0.9901365,0.003475002,0.0002904495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004997482,0.002104845,0.9848515,0.006937682,0.0002152673,0.0005013343,0.00002620322,0.00009652328,0.0002691289],"genre_scores_gemma":[0.01591883,0.001545911,0.9800382,0.0004125043,0.001762635,0.00002023463,0.00000148286,0.00009160924,0.000208541],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6263812,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3476091649167581,"score_gpt":0.555897448422707,"score_spread":0.208288283505949,"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."}}