{"id":"W2061052065","doi":"10.2307/3315853","title":"for misspecified regression models","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Minimax; Polynomial regression; Regression; Mathematics; Regression analysis; Applied mathematics; Polynomial; Function (biology); Mean squared error; Linear regression; Statistics; Mathematical optimization; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01559667,0.001520228,0.002647429,0.0007849097,0.0004072184,0.001784815,0.002274109,0.002729888,0.00613063],"category_scores_gemma":[0.05193666,0.0009502459,0.001573052,0.0008054521,0.001361084,0.002285076,0.00215912,0.003288374,0.001133276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173775,"about_ca_system_score_gemma":0.001279982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006517514,"about_ca_topic_score_gemma":0.0005908154,"domain_scores_codex":[0.9847819,0.009782724,0.0005049832,0.002332735,0.002196721,0.0004009077],"domain_scores_gemma":[0.969927,0.02044688,0.003852481,0.003960986,0.001590716,0.0002218185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009216775,0.0003053743,0.002810833,0.001136802,0.0005897653,0.0002790253,0.0002574164,0.4579656,0.01201046,0.3450164,0.004664102,0.1740426],"study_design_scores_gemma":[0.00011823,0.0004168556,0.001278357,0.0001441189,0.0001012796,0.0001226724,0.00002995198,0.799657,0.005303868,0.1852964,0.007471396,0.00005986743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006668971,0.0004275364,0.9913966,0.0003139359,0.00004338155,0.00004892599,0.00006483297,0.0001232671,0.0009125336],"genre_scores_gemma":[0.3721576,0.001095368,0.6162026,0.0010653,0.0002752123,0.0009691906,0.0005721134,0.0001966362,0.00746598],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01559667,"threshold_uncertainty_score":0.08248407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2951540009640167,"score_gpt":0.4376875731719163,"score_spread":0.1425335722078996,"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."}}