{"id":"W4252816699","doi":"10.1002/9781118445112.stat06533.pub2","title":"Within‐Case Designs: Distribution‐Free Methods","year":2017,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bootstrapping (finance); Nonparametric statistics; Univariate; Multivariate statistics; Statistics; Parametric statistics; Missing data; Econometrics; Statistical hypothesis testing; Rank (graph theory); Computer science; Mathematics","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00654342,0.001333209,0.002143411,0.0007361303,0.0006535315,0.001173823,0.0049643,0.0009917503,0.008913076],"category_scores_gemma":[0.02807992,0.001070846,0.0002443118,0.0006989709,0.001380356,0.0003546411,0.001460138,0.001401334,0.0009299294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003410943,"about_ca_system_score_gemma":0.0009047605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202311,"about_ca_topic_score_gemma":0.001454615,"domain_scores_codex":[0.9881878,0.00318357,0.00208121,0.002386325,0.003013866,0.00114723],"domain_scores_gemma":[0.9841958,0.004461395,0.003451037,0.006056016,0.0009731943,0.0008625688],"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":[0.00008487715,0.0002897642,0.00001874083,0.00004944419,0.0001446424,0.001885714,0.0001023783,0.00001542179,0.0002161549,0.02460524,0.8165266,0.1560611],"study_design_scores_gemma":[0.001130972,0.0004914044,0.0000288768,0.0005314288,0.0002169917,0.0006060163,0.0003834176,0.00421875,0.0003209816,0.1105642,0.879968,0.001538911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000004047108,0.00243005,0.7937167,0.00007306884,0.00181954,0.0008168402,0.117752,0.000320167,0.08306762],"genre_scores_gemma":[0.00002979689,0.0006662573,0.6506088,0.000105063,0.0003462145,0.00005947992,0.003543378,0.0004661127,0.3441748],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2611072,"threshold_uncertainty_score":0.9999419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3729084114674341,"score_gpt":0.5510677845579196,"score_spread":0.1781593730904855,"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."}}