{"id":"W2008238408","doi":"10.1016/j.jet.2012.05.004","title":"Convexity and multi-dimensional screening for spaces with different dimensions","year":2012,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convexity; Dimension (graph theory); Space (punctuation); Maximization; Mathematics; Regular polygon; Set (abstract data type); Principal (computer security); Combinatorics; Mathematical optimization; Pure mathematics; Mathematical economics; Computer science; Economics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001445256,0.0001792007,0.0005753939,0.0001610101,0.0001326067,0.00005199102,0.0001355117,0.00007680072,0.0002067116],"category_scores_gemma":[0.00005456102,0.0001519058,0.0001535094,0.0000159833,0.0001387055,0.0005095984,0.00005972225,0.0001507223,0.00001782346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008855679,"about_ca_system_score_gemma":0.00002217465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001015575,"about_ca_topic_score_gemma":0.000007066751,"domain_scores_codex":[0.9987726,0.00002486713,0.0006817143,0.000184632,0.00001494705,0.0003212015],"domain_scores_gemma":[0.998351,0.0003688778,0.0008604355,0.0001682969,0.00002770723,0.000223683],"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":[0.0003243833,0.00009511898,0.04873376,0.00001658748,0.0002687846,8.163993e-7,0.000487628,0.0006833388,0.00003055832,0.9485032,0.000262591,0.0005932575],"study_design_scores_gemma":[0.01630916,0.001390556,0.08475035,0.0002435223,0.0002730662,0.0006619764,0.00296087,0.01886697,0.001346565,0.8293779,0.0419266,0.001892446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514734,0.003947346,0.0426521,0.000297672,0.0007391109,0.0001681764,0.0001131228,0.000008512566,0.0006005383],"genre_scores_gemma":[0.9891336,0.000108386,0.009675612,0.0001833011,0.0003515426,0.00000691778,0.000003071199,0.00003091031,0.000506677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1191253,"threshold_uncertainty_score":0.619454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05472156594453113,"score_gpt":0.2470023961078212,"score_spread":0.1922808301632901,"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."}}