{"id":"W4411946088","doi":"10.1145/3736252.3742601","title":"An <i>O</i> (log log <i>n</i> )-approximate budget feasible mechanism for subadditive valuations","year":2025,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subadditivity; Computer science; Binary logarithm; Mechanism (biology); Combinatorics; Mathematics; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002418835,0.0001546383,0.0002347458,0.0002669344,0.0007697023,0.0002686655,0.0007674631,0.0001052552,0.001149322],"category_scores_gemma":[0.00106187,0.0001207852,0.0001494464,0.001147348,0.0001275383,0.0004840503,0.00007548274,0.00009810166,0.0003664021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003381096,"about_ca_system_score_gemma":0.0001665723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001160195,"about_ca_topic_score_gemma":0.00004869208,"domain_scores_codex":[0.9978952,0.0001928915,0.0005419226,0.0006377356,0.0004607493,0.0002714506],"domain_scores_gemma":[0.9964917,0.001459855,0.000171287,0.0008585227,0.0009012327,0.0001173959],"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":[0.00002082552,0.0001217373,0.00003855137,0.00000188665,0.000011966,1.16414e-7,0.0000930554,0.0000962294,0.002993064,0.9409945,0.05000526,0.005622775],"study_design_scores_gemma":[0.0003650803,0.0000549415,0.00008676126,0.000003990261,0.00002775605,0.000001881974,0.001502919,0.009149974,0.04260202,0.907089,0.03898232,0.000133369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003050751,0.00001097498,0.8965397,0.004614377,0.0003481926,0.0008320482,0.0002427065,0.0001831096,0.09417814],"genre_scores_gemma":[0.8785484,0.000009788912,0.03132791,0.006881842,0.000144911,0.001247297,0.0001146036,0.00001930731,0.08170597],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8754976,"threshold_uncertainty_score":0.9997638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08052580459537385,"score_gpt":0.4114093359909818,"score_spread":0.3308835313956079,"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."}}