{"id":"W2592559253","doi":"10.1287/mksc.2016.1010","title":"Robust Dynamic Estimation","year":2017,"lang":"en","type":"article","venue":"Marketing Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Blood Services","keywords":"Estimator; Minimax; Econometrics; Robustness (evolution); Volatility (finance); Nonparametric statistics; Profit (economics); Computer science; Economics; Microeconomics; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.004503593,0.002098662,0.002479802,0.002407976,0.0008426805,0.003417096,0.002677255,0.002404641,0.01456665],"category_scores_gemma":[0.02748286,0.001384276,0.00273007,0.002297056,0.001188063,0.003452071,0.0027527,0.003241003,0.005460756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674101,"about_ca_system_score_gemma":0.003669839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119319,"about_ca_topic_score_gemma":0.008743078,"domain_scores_codex":[0.9968817,0.00101392,0.0001936991,0.001059545,0.0005927157,0.0002584072],"domain_scores_gemma":[0.9911623,0.005335885,0.0008123604,0.001376954,0.001186358,0.0001261459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001382302,0.0001190854,0.003038764,0.0003717855,0.0004202184,0.0001618092,0.0001123078,0.6380572,0.001531284,0.1226174,0.01293188,0.2205001],"study_design_scores_gemma":[0.00001786619,0.00003094698,0.0004862198,0.00004730597,0.00003272477,0.0000434737,0.00002526419,0.9536297,0.0005897632,0.03905093,0.006015981,0.00002973642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001550747,0.0003153055,0.9939032,0.0002403797,0.00007066174,0.00006451335,0.0003215351,0.0006352783,0.002898314],"genre_scores_gemma":[0.2723988,0.001690068,0.6983408,0.0006235873,0.0003884392,0.0008835727,0.004377955,0.001083321,0.02021342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01456665,"threshold_uncertainty_score":0.04873031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288215283440265,"score_gpt":0.2685683640492736,"score_spread":0.2397468357052472,"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."}}