{"id":"W2913096578","doi":"10.1002/9781118445112.stat06533","title":"Within Case Designs: Distribution Free Methods","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bootstrapping (finance); Nonparametric statistics; Univariate; Multivariate statistics; Statistics; Econometrics; Parametric statistics; Rank (graph theory); Mathematics; Statistical hypothesis testing; Multivariate analysis; Computer science","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1915708,0.002998179,0.004392883,0.0043611,0.002148446,0.004117982,0.006031349,0.004104778,0.09796042],"category_scores_gemma":[0.3360698,0.002654724,0.003467552,0.004024863,0.005033517,0.004287382,0.005125628,0.007637496,0.01664882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137236,"about_ca_system_score_gemma":0.004949118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000643081,"about_ca_topic_score_gemma":0.000953808,"domain_scores_codex":[0.7217509,0.2384612,0.00677865,0.01148713,0.02010173,0.001420441],"domain_scores_gemma":[0.6385079,0.2722782,0.01415468,0.05627488,0.01659375,0.002190527],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003979064,0.001512216,0.00289536,0.003866455,0.001476549,0.0006036616,0.002127847,0.01013361,0.001179707,0.3804051,0.04228846,0.549532],"study_design_scores_gemma":[0.004252472,0.003931909,0.003418372,0.00315779,0.001061099,0.0007810687,0.0005305157,0.07929645,0.003603386,0.7452866,0.1543994,0.0002809993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001252831,0.0003392678,0.9808277,0.0003473575,0.0005351157,0.00953308,0.0005037678,0.0005611555,0.006099589],"genre_scores_gemma":[0.02818418,0.000480335,0.8972005,0.0006082999,0.000438797,0.06548625,0.0004887852,0.0006140271,0.006498781],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8084292,"threshold_uncertainty_score":0.9969371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2399093436570055,"score_gpt":0.4939564271072253,"score_spread":0.2540470834502199,"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."}}