{"id":"W2466482888","doi":"10.1007/s00453-016-0169-0","title":"Strategyproof Mechanisms for Competitive Influence in Networks","year":2016,"lang":"en","type":"article","venue":"Algorithmica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; David and Lucile Packard Foundation; National Science Foundation","keywords":"Computer science; Competition (biology); Theory of computation; Class (philosophy); Mathematical economics; Mechanism design; Mechanism (biology); Mathematical optimization; Greedy algorithm; Microeconomics; Mathematics; Economics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006095147,0.001356415,0.002133562,0.002255798,0.002056921,0.007630932,0.003559183,0.004390152,0.01031058],"category_scores_gemma":[0.03104221,0.0009134972,0.001698773,0.002103138,0.005987679,0.009065051,0.003721785,0.003467273,0.001033858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003098903,"about_ca_system_score_gemma":0.002325419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001566384,"about_ca_topic_score_gemma":0.001584082,"domain_scores_codex":[0.9934524,0.003642742,0.0003000498,0.0007306096,0.001052999,0.0008212122],"domain_scores_gemma":[0.9674384,0.02570605,0.002119414,0.002294783,0.001217622,0.00122381],"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":[0.00003847191,0.00004574817,0.0002061879,0.00008245822,0.00003759906,0.00004043898,0.0001465361,0.009629308,0.0003317029,0.9815701,0.001410184,0.006461154],"study_design_scores_gemma":[0.00004872582,0.00001517821,0.00006170851,0.0000126074,0.00001592988,0.00002853053,0.00003057465,0.02670931,0.0001275895,0.9716607,0.001279393,0.000009783968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08297753,0.001511437,0.8605289,0.004006524,0.0002084263,0.0003064144,0.0002594117,0.000445702,0.04975558],"genre_scores_gemma":[0.932991,0.00106781,0.05315822,0.0003983736,0.0003405701,0.0006881871,0.0001222175,0.00009383698,0.01113977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01031058,"threshold_uncertainty_score":0.03449237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05168188420311987,"score_gpt":0.3606718561653964,"score_spread":0.3089899719622766,"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."}}