{"id":"W1992113455","doi":"10.1063/1.3663521","title":"Robust Designs for Three Commonly Used Nonlinear Models","year":2011,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Homoscedasticity; Heteroscedasticity; Extrapolation; Nonlinear system; Minimax; Exponential function; Computer science; Mathematics; Non-linear least squares; Least-squares function approximation; Mathematical optimization; Applied mathematics; Estimation theory; 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":[0.01771019,0.001627026,0.001073646,0.001101779,0.0004372569,0.001372273,0.001900311,0.001721621,0.003935164],"category_scores_gemma":[0.03652097,0.0006406307,0.001897611,0.0008247246,0.001352262,0.001272315,0.001833536,0.001790394,0.0007725342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103377,"about_ca_system_score_gemma":0.001518556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008314957,"about_ca_topic_score_gemma":0.0005788791,"domain_scores_codex":[0.9903365,0.006308955,0.000406314,0.001424405,0.00125646,0.0002673026],"domain_scores_gemma":[0.9813585,0.01268143,0.002840418,0.001708655,0.001257145,0.000153836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000652384,0.0002017683,0.00159055,0.0008822858,0.0004001256,0.0001352845,0.000378931,0.3975163,0.009636896,0.4002211,0.00164456,0.1867398],"study_design_scores_gemma":[0.0002151856,0.001241682,0.001720395,0.0002041796,0.0002462496,0.0001437288,0.00008697005,0.8126472,0.01501231,0.1579129,0.01042085,0.0001483196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005590507,0.0003034042,0.9928894,0.00008858091,0.00002125765,0.00007605706,0.00008701469,0.00009314193,0.0008506294],"genre_scores_gemma":[0.280823,0.001139875,0.7132227,0.0001532433,0.00007862766,0.001473735,0.0004947291,0.0001101933,0.002503865],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01771019,"threshold_uncertainty_score":0.09366161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6086791475359449,"score_gpt":0.4204054572866362,"score_spread":0.1882736902493087,"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."}}