{"id":"W3125333912","doi":"","title":"Definable and Contractible Contracts","year":2010,"lang":"en","type":"preprint","venue":"UCL Discovery (University College London)","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Contractible space; Bayesian game; Characterization (materials science); Mathematical economics; Set (abstract data type); Computer science; Mechanism design; Bayesian probability; Code (set theory); Mathematics; Microeconomics; Repeated game; Game theory; Economics; Artificial intelligence; Programming language; Pure 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001291152,0.0003435267,0.000647967,0.0005054259,0.0009385425,0.0004933541,0.001262313,0.0005829118,0.000783658],"category_scores_gemma":[0.0006465754,0.0003460409,0.000268335,0.0006852519,0.0004965792,0.001707027,0.001404162,0.001239838,0.0004748968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064112,"about_ca_system_score_gemma":0.0004564281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000281283,"about_ca_topic_score_gemma":0.0005342443,"domain_scores_codex":[0.9970502,0.0002649018,0.0003944722,0.001129241,0.0007687901,0.000392342],"domain_scores_gemma":[0.9959846,0.001468211,0.0006250002,0.001275656,0.0003651173,0.0002814609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004845004,0.0002945344,0.001217189,0.00002754408,0.0001172008,0.0001809297,0.0003728355,0.0004371102,0.001162958,0.9572397,0.03553293,0.002932594],"study_design_scores_gemma":[0.00204091,0.00007142184,0.01675221,0.00006123539,0.0002204732,0.00009977911,0.006369241,0.002557474,0.0005833919,0.3504325,0.6198169,0.0009944572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281651,0.0002423352,0.02245733,0.004262905,0.001238022,0.0009348007,0.00318204,0.0001388422,0.03937861],"genre_scores_gemma":[0.8789211,0.0001257436,0.0008942595,0.0002479744,0.0001254914,0.000005075795,0.00004339675,0.00001884906,0.1196181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6068072,"threshold_uncertainty_score":0.9998991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376766332998764,"score_gpt":0.2867810199717261,"score_spread":0.2491043866718497,"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."}}