{"id":"W3114534008","doi":"10.3982/ecta19304","title":"Invidious Comparisons: Ranking and Selection as Compound Decisions","year":2023,"lang":"en","type":"article","venue":"Econometrica","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ranking (information retrieval); Selection (genetic algorithm); Construct (python library); Estimator; Bayes' theorem; Computer science; Curse of dimensionality; Nonparametric statistics; Machine learning; Operations research; Artificial intelligence; Mathematics; Bayesian probability; Econometrics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02332839,0.001066652,0.003459893,0.002236844,0.001801903,0.006468774,0.002910451,0.002639138,0.009471928],"category_scores_gemma":[0.07891746,0.0007842294,0.001614255,0.003006173,0.00645102,0.0103176,0.003014775,0.003292654,0.0007609229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003343282,"about_ca_system_score_gemma":0.002611087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002979995,"about_ca_topic_score_gemma":0.00366941,"domain_scores_codex":[0.972923,0.01792897,0.0009106797,0.003887546,0.003485895,0.0008638706],"domain_scores_gemma":[0.927752,0.06063019,0.005459597,0.003048174,0.001666179,0.001443971],"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":[0.0005518004,0.0002015967,0.004887795,0.0002178837,0.0002589776,0.000348417,0.0006144306,0.1858183,0.0006142408,0.7038993,0.00302414,0.0995632],"study_design_scores_gemma":[0.00006360353,0.0001372661,0.001517801,0.00003508744,0.00003200457,0.00007310933,0.0001063654,0.2319465,0.0003103089,0.7636182,0.002114376,0.0000454041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1358403,0.0018382,0.8377319,0.003648975,0.0001957578,0.000598,0.0005799315,0.000278246,0.01928881],"genre_scores_gemma":[0.6690087,0.0007555659,0.3225075,0.0004853113,0.0002193097,0.0005507012,0.0003773248,0.00008914871,0.006006533],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02332839,"threshold_uncertainty_score":0.1233738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.276401290613409,"score_gpt":0.4560022056354244,"score_spread":0.1796009150220154,"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."}}