{"id":"W3121731507","doi":"10.1017/s0266466620000225","title":"AN ADAPTIVE TEST OF STOCHASTIC MONOTONICITY","year":2020,"lang":"en","type":"preprint","venue":"Econometric Theory","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Economic and Social Research Council","keywords":"Monotonic function; Smoothness; Mathematics; Nonparametric statistics; Randomness; Monte Carlo method; Applied mathematics; Null hypothesis; Mathematical optimization; Computer science; Econometrics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.01240069,0.0005919827,0.001238833,0.002298301,0.000640802,0.001341385,0.002932462,0.001785262,0.003514388],"category_scores_gemma":[0.09662685,0.0004275012,0.0008461387,0.001706143,0.003375486,0.003377224,0.002983696,0.002517158,0.0004151934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006509915,"about_ca_system_score_gemma":0.001202345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000875872,"about_ca_topic_score_gemma":0.0005643097,"domain_scores_codex":[0.9890952,0.006076979,0.0004669904,0.001744188,0.002265976,0.0003506982],"domain_scores_gemma":[0.9013901,0.07726839,0.00756155,0.007219346,0.005206815,0.001353768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009617104,0.0007332613,0.1004038,0.0003813827,0.0007016751,0.0009659128,0.0005035377,0.178222,0.02337273,0.3576134,0.003738096,0.3324026],"study_design_scores_gemma":[0.0002062605,0.0007851747,0.0249597,0.00005487027,0.00008183783,0.0006418473,0.0001083941,0.8025327,0.005258534,0.1622158,0.003040353,0.000114515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1581057,0.0002034348,0.8347889,0.0007204342,0.00009020074,0.0001712143,0.0002973522,0.0004930666,0.005129768],"genre_scores_gemma":[0.8092188,0.0001063402,0.188112,0.0003597301,0.0001800974,0.0003849382,0.0004498168,0.000104992,0.001083354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01240069,"threshold_uncertainty_score":0.06558186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300911888361792,"score_gpt":0.3666242444945562,"score_spread":0.236533055658377,"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."}}