{"id":"W2734623983","doi":"10.5709/acp-0214-z","title":"Varieties of Confidence Intervals","year":2017,"lang":"en","type":"article","venue":"Advances in Cognitive Psychology","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Multiplicative function; Statistics; Confidence interval; Mathematics; Measure (data warehouse); Population mean; Robust confidence intervals; Sampling (signal processing); Population; Computer science; Econometrics; Data mining; Demography","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"],"consensus_categories":[],"category_scores_codex":[0.002961952,0.0001445583,0.0004594879,0.0002263914,0.0001172759,0.0000818831,0.001430014,0.00009490932,0.0008816834],"category_scores_gemma":[0.01359199,0.0001193963,0.00008604967,0.000180329,0.001703941,0.001081835,0.0002694074,0.0001869092,0.0001554903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001171732,"about_ca_system_score_gemma":0.00002332688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000256656,"about_ca_topic_score_gemma":0.00005051364,"domain_scores_codex":[0.9974088,0.0005480014,0.0006995586,0.0006074065,0.0004822593,0.0002539507],"domain_scores_gemma":[0.9953116,0.002885566,0.0005614447,0.000796527,0.0003895406,0.00005537188],"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":[0.0009820504,0.0003201122,0.1189883,0.000009846815,0.00002535711,0.00007000918,0.001759575,0.00001592266,0.01598186,0.04130268,0.000278748,0.8202655],"study_design_scores_gemma":[0.001662822,0.0007262184,0.19977,0.0001337093,0.000009163889,0.00003192606,0.002363893,0.000118938,0.04233975,0.7460121,0.006538772,0.0002927518],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2005608,0.006933577,0.3163048,0.0007606355,0.003055855,0.0004781403,0.00004116349,0.00002711336,0.471838],"genre_scores_gemma":[0.9812736,0.0004595538,0.01717798,0.0005375323,0.00003398471,0.00003158632,6.456901e-7,0.000008586726,0.000476533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8199728,"threshold_uncertainty_score":0.9947169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3120979891867028,"score_gpt":0.6219433147655263,"score_spread":0.3098453255788235,"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."}}