{"id":"W3005428264","doi":"10.3982/te2818","title":"Information design and sequential screening with ex post participation constraint","year":2020,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Mechanism design; Principal (computer security); Computer science; Economic rent; Constraint (computer-aided design); Participation constraint; Mechanism (biology); Profit (economics); Mathematical optimization; Ex-ante; Mathematical economics; Artificial intelligence; Microeconomics; Economics; Mathematics; Computer security; Incentive","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008992887,0.00007793736,0.00012702,0.00003713627,0.0001213996,0.0002216952,0.0001463458,0.00004378957,0.000802274],"category_scores_gemma":[0.0005546024,0.00005901916,0.00002403928,0.0001086155,0.000679978,0.0005435512,0.00004817569,0.00008238612,0.0003038252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009654698,"about_ca_system_score_gemma":0.00003958083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.077685e-7,"about_ca_topic_score_gemma":3.665305e-7,"domain_scores_codex":[0.9991587,0.0001131524,0.0003560343,0.000148408,0.0001043199,0.0001193674],"domain_scores_gemma":[0.9988931,0.0005599656,0.0001336339,0.0001429574,0.00009595586,0.0001744195],"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":[0.0001752628,0.000005240645,0.00004478519,9.466048e-7,0.000006491796,1.896171e-7,0.000792951,0.00495345,0.00004937432,0.9676386,0.00003913083,0.02629357],"study_design_scores_gemma":[0.0007553485,0.0003200745,0.0007884116,0.000005659585,0.00003367897,0.00002760601,0.003570242,0.2960187,0.002119843,0.6922274,0.003882993,0.0002499842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2823429,0.000001403212,0.7101782,0.004769219,0.00001567169,0.0001512269,0.00001417628,0.00002825069,0.002498879],"genre_scores_gemma":[0.9878767,0.000003040422,0.01026988,0.001774903,0.00004430833,0.00001113132,0.000009175163,0.000004397515,0.000006522581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7055337,"threshold_uncertainty_score":0.8784338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08621763586449831,"score_gpt":0.3218474511972208,"score_spread":0.2356298153327225,"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."}}