{"id":"W2038336950","doi":"10.1016/j.jspi.2008.05.022","title":"Robust designs for misspecified logistic models","year":2008,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Statistics; Logistic regression; Econometrics; Applied mathematics","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":[0.1357849,0.002648392,0.004526126,0.002061283,0.001174238,0.003418824,0.006997945,0.004294029,0.01023633],"category_scores_gemma":[0.3334894,0.003117759,0.004023881,0.001840615,0.004274462,0.004633255,0.004628793,0.006004936,0.001335156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002280563,"about_ca_system_score_gemma":0.005221141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008102186,"about_ca_topic_score_gemma":0.0009342373,"domain_scores_codex":[0.8045768,0.1729839,0.004075705,0.009753388,0.006865747,0.001744405],"domain_scores_gemma":[0.572072,0.3578921,0.01904565,0.04285672,0.006480906,0.001652732],"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":[0.01865774,0.001285398,0.004160916,0.002780524,0.004060287,0.0003526791,0.001088466,0.1602707,0.005183963,0.5454343,0.003504851,0.2532202],"study_design_scores_gemma":[0.005198916,0.004811812,0.002589682,0.0004264467,0.001716957,0.0001916914,0.0001173948,0.3780797,0.006260412,0.5922956,0.008094748,0.0002166035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006107128,0.0002637081,0.9919862,0.0001542964,0.00006661632,0.000593206,0.0001298245,0.000243164,0.0004559814],"genre_scores_gemma":[0.1328522,0.0003292455,0.858845,0.000270555,0.000108103,0.00614358,0.000370395,0.0001872688,0.0008936106],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1357849,"threshold_uncertainty_score":0.7181076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7552309551786061,"score_gpt":0.5199634607146267,"score_spread":0.2352674944639793,"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."}}