{"id":"W2925044727","doi":"10.3982/ecta15668","title":"The Interval Structure of Optimal Disclosure","year":2019,"lang":"en","type":"article","venue":"Econometrica","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Communication source; Interval (graph theory); Stochastic game; Quality (philosophy); Monopoly; Computer science; Type (biology); Simple (philosophy); Private information retrieval; Mathematical economics; Complete information; Mathematical optimization; Outcome (game theory); Mathematics; Microeconomics; Economics; Computer network; Computer security; Combinatorics","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":[0.004431142,0.0004467418,0.001333117,0.001269494,0.000783811,0.003788663,0.001521153,0.001896762,0.0129447],"category_scores_gemma":[0.03864739,0.0006517761,0.0008380393,0.001306689,0.002258417,0.006538707,0.001738123,0.002381676,0.001069906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722821,"about_ca_system_score_gemma":0.001337271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008055752,"about_ca_topic_score_gemma":0.0003664458,"domain_scores_codex":[0.9955814,0.001968122,0.0002515312,0.0007053917,0.0009833595,0.0005101607],"domain_scores_gemma":[0.9784138,0.0147898,0.002928433,0.001796369,0.001407401,0.0006642428],"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":[0.0001174892,0.00005716218,0.0005491634,0.00006608851,0.00001585141,0.00006495262,0.0002027503,0.01573692,0.0004682676,0.9667951,0.001209501,0.01471661],"study_design_scores_gemma":[0.00007108983,0.00004420311,0.0003422593,0.00002491564,0.00001004197,0.00007256866,0.00004179435,0.04817401,0.0002968312,0.9497263,0.001177623,0.00001834878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1846321,0.001373105,0.7340589,0.002701739,0.0001336533,0.0002437923,0.0007992818,0.0004379887,0.07561959],"genre_scores_gemma":[0.9081891,0.0007689151,0.08198487,0.0002266573,0.0001657785,0.0003339005,0.0003435415,0.00007552768,0.007911814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0129447,"threshold_uncertainty_score":0.04330432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841543244631886,"score_gpt":0.3349075641351322,"score_spread":0.2964921316888134,"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."}}