{"id":"W4413857326","doi":"10.1007/978-3-032-03639-1_23","title":"Linear Contracts for Supermodular Functions Based on Graphs","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Mathematical optimization; Theoretical computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00116634,0.0006764309,0.0007367328,0.001051797,0.0009591316,0.00199165,0.001426328,0.001062114,0.01828551],"category_scores_gemma":[0.004577443,0.0004724593,0.000829894,0.001951779,0.002096075,0.005534094,0.002188052,0.003442058,0.00242687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650311,"about_ca_system_score_gemma":0.0006608296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007113246,"about_ca_topic_score_gemma":0.0007989613,"domain_scores_codex":[0.9989715,0.0003209988,0.00004053606,0.0001602754,0.0003620956,0.0001446223],"domain_scores_gemma":[0.9976386,0.001412181,0.0001783719,0.0004028935,0.0001981144,0.0001698753],"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":[0.00002881483,0.00001903318,0.00004366955,0.00004522711,0.000003602356,0.00001933486,0.00007043537,0.003580409,0.0006762631,0.9715495,0.003102238,0.02086145],"study_design_scores_gemma":[0.00000912997,0.00001871513,0.00006371678,0.0000154637,0.000003894629,0.00004850989,0.00002709502,0.02111563,0.0003573973,0.9723817,0.005950441,0.000008492443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09756152,0.001292739,0.7605302,0.002129767,0.0003894192,0.000171111,0.0005914624,0.0005860405,0.1367477],"genre_scores_gemma":[0.6867721,0.002811897,0.1916045,0.0009868211,0.000810738,0.0005622249,0.0008999507,0.0008649814,0.1146868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01828551,"threshold_uncertainty_score":0.06117111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713997365759921,"score_gpt":0.2894582289111324,"score_spread":0.2623182552535333,"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."}}