{"id":"W2116528489","doi":"10.1109/13.883349","title":"Extreme values from skewed distributions [mathematics education]","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Education","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Skew; Statistics; Magnitude (astronomy); Standard deviation; Gaussian; Extreme value theory; Mathematics; Standard error; Confidence interval; Value (mathematics); Data set; Computer science; Physics","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":["insufficient_payload"],"category_scores_codex":[0.001735671,0.0002110887,0.0002150219,0.0003872091,0.0006965521,0.0004434185,0.0005611108,0.0001104885,0.0257125],"category_scores_gemma":[0.0003035203,0.0001761144,0.0001907421,0.001216608,0.0001078291,0.0005947275,9.267995e-7,0.0001842793,0.004667898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002659006,"about_ca_system_score_gemma":0.001279587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002280498,"about_ca_topic_score_gemma":0.0001507603,"domain_scores_codex":[0.9962174,0.000271016,0.0008003676,0.0006443952,0.001815137,0.0002516746],"domain_scores_gemma":[0.9970516,0.0006647171,0.0002135533,0.001032546,0.0008420789,0.0001955054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002480519,0.002550985,0.0001195692,0.000003419786,0.00002784286,7.156623e-8,0.002293167,0.001636005,0.002220847,0.0005813103,0.04804219,0.9424998],"study_design_scores_gemma":[0.001737997,0.0002626568,0.02796201,0.0004061156,0.0006429784,0.00001832221,0.01760067,0.0427059,0.05756903,0.6392807,0.2099828,0.001830805],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5192938,0.0001488383,0.4455746,0.003816518,0.008928486,0.0008789156,0.0001875639,0.0001850667,0.0209862],"genre_scores_gemma":[0.942426,0.00002764201,0.005095254,0.0003230858,0.0002984512,0.0002037627,0.0001220446,0.00001672573,0.05148698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.940669,"threshold_uncertainty_score":0.9961071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2001051170967212,"score_gpt":0.3991170335970831,"score_spread":0.1990119165003619,"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."}}