{"id":"W4390232703","doi":"10.1111/sjos.12703","title":"Consistent covariances estimation for stratum imbalances under minimization method for covariate‐adaptive randomization","year":2023,"lang":"en","type":"article","venue":"Scandinavian Journal of Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Cancer Society; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covariate; Estimator; Mathematics; Minification; Lemma (botany); Inference; Statistical inference; Statistics; Nominal level; Econometrics; Consistency (knowledge bases); Mathematical optimization; Computer science; Confidence interval; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00590823,0.0002384968,0.000992259,0.0002208008,0.0002125584,0.0001156518,0.0002199871,0.0001659763,0.00005262675],"category_scores_gemma":[0.06046733,0.0002007874,0.0002172288,0.0004038174,0.0001419196,0.0001641615,0.00002306213,0.0001784107,0.000003687487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246801,"about_ca_system_score_gemma":0.0002686316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002740337,"about_ca_topic_score_gemma":0.000004557186,"domain_scores_codex":[0.996407,0.0007060189,0.001797406,0.0002674196,0.0004723443,0.0003497707],"domain_scores_gemma":[0.9327132,0.0638833,0.001784174,0.0001652103,0.001295068,0.0001590788],"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":[0.004652012,0.0001512828,0.0000647594,0.0005175584,0.0005144213,0.00001501459,0.000329789,0.01141399,0.0001189621,0.9234145,0.03212676,0.02668098],"study_design_scores_gemma":[0.007578218,0.0008092683,0.0002804103,0.0002489415,0.0005842465,0.00002065225,0.0003304316,0.1800133,0.0002481857,0.8095917,0.0001075881,0.0001869738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001343149,0.00003506292,0.9939088,0.0004735824,0.001912527,0.0012919,0.002133929,0.00004378338,0.00006615501],"genre_scores_gemma":[0.01010406,0.00007550945,0.9889085,0.00008318341,0.0004107908,0.00008658884,0.00007041557,0.00005070042,0.0002102319],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1685994,"threshold_uncertainty_score":0.9474468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4583669713344399,"score_gpt":0.5438542984223877,"score_spread":0.08548732708794782,"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."}}