{"id":"W2043174953","doi":"10.1002/cjs.11128","title":"Sequential design for nonparametric inference","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Nonparametric statistics; Quantile; Statistics; Inference; Econometrics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04885188,0.00187841,0.002804993,0.001564848,0.0008620511,0.001329574,0.00255606,0.002364787,0.007969049],"category_scores_gemma":[0.09016968,0.001268169,0.001672911,0.001644344,0.003314922,0.002020044,0.002649273,0.003347578,0.001041822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702303,"about_ca_system_score_gemma":0.00329363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526212,"about_ca_topic_score_gemma":0.001140933,"domain_scores_codex":[0.9581362,0.03315853,0.001098524,0.003025176,0.00411442,0.0004671495],"domain_scores_gemma":[0.9414091,0.04382411,0.003504545,0.006237049,0.004459761,0.0005654559],"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":[0.001916361,0.0004514054,0.00258296,0.0009239887,0.000541155,0.0001639204,0.0003633279,0.2515056,0.005285652,0.4866644,0.002622901,0.2469784],"study_design_scores_gemma":[0.0008500842,0.001421288,0.000936567,0.0001140577,0.000127603,0.0001000189,0.00002996451,0.667497,0.004188763,0.318902,0.005768553,0.00006411337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001715043,0.00005324126,0.9976295,0.00005444098,0.00003223682,0.0001393248,0.00001951538,0.00007132843,0.0002853932],"genre_scores_gemma":[0.1228769,0.0001523406,0.873663,0.0001790251,0.0001053579,0.002041531,0.0001221366,0.00006412136,0.0007956835],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04885188,"threshold_uncertainty_score":0.2583566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3601301529286638,"score_gpt":0.4679454129079356,"score_spread":0.1078152599792718,"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."}}