{"id":"W2787419271","doi":"10.2139/ssrn.3093325","title":"Optimal and Efficient Mechanisms with Budget Constrained Buyers","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Budget constraint; Computer science; Business; Microeconomics; Economics; Mathematical optimization; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004112978,0.0001106255,0.0001551369,0.00009508669,0.001591551,0.0005154873,0.0006378588,0.00004495502,0.0001149237],"category_scores_gemma":[0.0004017717,0.00007111659,0.0000536989,0.00009373075,0.0003364542,0.0001971953,0.00006533453,0.0006724467,0.00007592342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009417024,"about_ca_system_score_gemma":0.0007015507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004981159,"about_ca_topic_score_gemma":0.00004996209,"domain_scores_codex":[0.9980175,0.00007312432,0.0002551873,0.0002659871,0.0005072012,0.000881032],"domain_scores_gemma":[0.998739,0.0001637424,0.000389952,0.0004250128,0.0001542543,0.0001280115],"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":[0.00006743866,0.00002765782,0.00013453,2.860097e-7,0.00003382445,0.000002600002,0.00009725368,0.0006494522,0.0004611309,0.9726072,0.00004409122,0.02587455],"study_design_scores_gemma":[0.0007822334,0.0002830772,0.0009604552,0.000006216215,0.00002241701,0.001426695,0.005253661,0.001018557,0.0004794199,0.9883462,0.001274336,0.0001467798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4226204,0.0001066377,0.5705395,0.003414989,0.0001058313,0.0001127378,0.000006189797,0.00001818379,0.003075467],"genre_scores_gemma":[0.9951105,0.00007258236,0.002052752,0.00005836759,0.00007907369,0.000005128775,3.775751e-7,0.000008132944,0.002613106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5724901,"threshold_uncertainty_score":0.9997082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166805417552903,"score_gpt":0.3200102915441695,"score_spread":0.2983422373686405,"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."}}