{"id":"W4240638944","doi":"10.1002/9781118445112.stat07380","title":"Exact Randomization Technique","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Randomization; Statistic; Shuffling; Exact test; Bootstrapping (finance); Test statistic; Resampling; Computer science; Restricted randomization; Statistical hypothesis testing; Statistics; Sufficient statistic; Exact statistics; Algorithm; Mathematics; Randomized controlled trial; Econometrics; Medicine","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":[0.01312675,0.0008982337,0.001722838,0.002043183,0.0008461697,0.001978487,0.001892645,0.001878482,0.04377884],"category_scores_gemma":[0.05135684,0.0004689857,0.001224645,0.00219879,0.002706023,0.002205808,0.002628782,0.003328909,0.01017359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154895,"about_ca_system_score_gemma":0.002903654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005196262,"about_ca_topic_score_gemma":0.0004325416,"domain_scores_codex":[0.9791236,0.0136148,0.000840993,0.001795267,0.00400295,0.0006224271],"domain_scores_gemma":[0.9806907,0.01225522,0.001186377,0.003814605,0.001687153,0.0003659973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000739704,0.0001403636,0.0006451266,0.0005746297,0.0001260394,0.0002809046,0.0002165454,0.005350907,0.0013386,0.6632395,0.03922463,0.288123],"study_design_scores_gemma":[0.0009048264,0.0006261808,0.0006907645,0.0004975456,0.0001335511,0.00126248,0.00008811204,0.04308961,0.003157039,0.7852994,0.1641539,0.00009656536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001692323,0.001178115,0.9760449,0.001508633,0.001266616,0.0009089499,0.0004283969,0.0006646922,0.01630735],"genre_scores_gemma":[0.1583859,0.002617885,0.7889286,0.004041984,0.002443642,0.007013373,0.0009815055,0.0006756154,0.03491142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04377884,"threshold_uncertainty_score":0.1464548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3432002299323014,"score_gpt":0.5218161486622073,"score_spread":0.1786159187299059,"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."}}