{"id":"W3021847850","doi":"10.1214/21-aoas1526","title":"Permutation tests under a rotating sampling plan with clustered data","year":2022,"lang":"en","type":"article","venue":"The Annals of Applied Statistics","topic":"Forest ecology and management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Permutation (music); Sampling (signal processing); Resampling; Statistics; Parametric statistics; Inference; Econometrics; Sampling distribution; Computer science; Mathematics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0004496063,0.00006992635,0.00008639797,0.00001524535,0.000325169,0.00001086327,0.0004201974,0.0000104217,0.0006330819],"category_scores_gemma":[0.00001732998,0.00005289144,0.000005673553,0.0001124614,0.0001379342,0.00004049337,0.0007032655,0.0001058271,0.00002760155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001472786,"about_ca_system_score_gemma":0.0000106766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006726577,"about_ca_topic_score_gemma":0.0002283424,"domain_scores_codex":[0.9992477,0.00003184881,0.0001443159,0.0001795397,0.000239184,0.0001574617],"domain_scores_gemma":[0.9992835,0.0001921803,0.0001377722,0.0003582127,0.000005316526,0.00002302634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002069565,0.0001188532,0.001410868,0.0000231274,0.00006436541,0.000006403521,0.002051482,0.8558905,0.0002784115,0.114952,0.01523566,0.009761369],"study_design_scores_gemma":[0.00141849,0.0007591925,0.4313174,0.00001405325,0.0001735783,0.00001982036,0.009242653,0.1845738,0.0002303517,0.3602465,0.01138731,0.000616883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5487289,0.0000162247,0.4352711,0.001549715,0.00009219505,0.001003872,0.001114233,0.00005393726,0.01216986],"genre_scores_gemma":[0.9815085,0.000003651434,0.01719761,0.0009472806,0.000008239468,0.00003514707,0.0002202337,0.000009558759,0.00006979111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6713167,"threshold_uncertainty_score":0.6931803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241012765550882,"score_gpt":0.3257595050175824,"score_spread":0.2016582284624941,"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."}}