{"id":"W1827532729","doi":"10.1002/9780470057339.vae051.pub2","title":"Exact Randomization Technique","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Randomization; Statistic; Shuffling; Bootstrapping (finance); Test statistic; Exact test; Resampling; Computer science; Restricted randomization; Statistical hypothesis testing; Statistics; Sufficient statistic; Algorithm; Mathematics; Econometrics; Randomized controlled trial; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006241932,0.000280878,0.0006582201,0.0005538886,0.00001767866,0.00000520144,0.000233515,0.0004806017,0.01106753],"category_scores_gemma":[0.005213132,0.0002427277,0.000112595,0.0004340845,0.0001138178,0.00002606205,0.00008243507,0.0002620707,0.0001044986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003289196,"about_ca_system_score_gemma":0.00002277898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002440481,"about_ca_topic_score_gemma":0.000001246142,"domain_scores_codex":[0.9985107,0.0001841669,0.0004545065,0.0002411928,0.0003546616,0.0002547878],"domain_scores_gemma":[0.9969383,0.001898106,0.0005439955,0.0004968498,0.00001427374,0.000108496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003901501,0.000553234,0.001251617,0.001012672,0.0001302541,0.000006515912,0.00008213102,7.332084e-7,0.00007116635,0.1107745,0.7578537,0.1282245],"study_design_scores_gemma":[0.0006013226,0.0000484046,0.0002278002,0.0001296336,0.0001798779,0.000002440752,0.000004969853,0.000007751767,0.0001636453,0.03602092,0.9622515,0.0003616676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000002066213,0.000708767,0.4439233,0.000003397708,0.0002079821,0.0003957846,0.00006915459,0.00005690277,0.5546327],"genre_scores_gemma":[0.00006279299,0.004970281,0.6459457,0.00001004845,0.0003676505,0.00007375714,0.00002102518,0.0003643099,0.3481844],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2064482,"threshold_uncertainty_score":0.9898365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090323447483002,"score_gpt":0.3091282382715194,"score_spread":0.2782250037966894,"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."}}