{"id":"W4225343237","doi":"10.1287/opre.2021.2209","title":"Learning Manipulation Through Information Dissemination","year":2022,"lang":"en","type":"article","venue":"Operations Research","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Misinformation; Dissemination; Computer science; Social learning; Process (computing); Private information retrieval; Incentive; Control (management); Information Dissemination; Knowledge management; Perspective (graphical); Economics; Microeconomics; Artificial intelligence; World Wide Web; Computer security","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":[0.0069323,0.0009082932,0.0008779838,0.001228322,0.0007883789,0.002887266,0.001137631,0.002562675,0.004940756],"category_scores_gemma":[0.04238437,0.0003798742,0.0007141654,0.0008742308,0.003034006,0.005333513,0.002127619,0.002137551,0.0004270953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882603,"about_ca_system_score_gemma":0.001660301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008742415,"about_ca_topic_score_gemma":0.0004894984,"domain_scores_codex":[0.9928343,0.00405929,0.0003174404,0.001078621,0.00111902,0.0005912778],"domain_scores_gemma":[0.9447865,0.04191241,0.006564672,0.004153131,0.001999086,0.0005841404],"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":[0.0004227348,0.0007254216,0.004725391,0.0008981997,0.0002555017,0.0004403691,0.001428172,0.06902172,0.008603228,0.7583814,0.002917534,0.1521804],"study_design_scores_gemma":[0.0002898111,0.0006249457,0.002671642,0.0001726708,0.0001586357,0.0002809889,0.0003316358,0.1891491,0.007768622,0.7851719,0.0132969,0.00008317319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2598064,0.003869134,0.6201426,0.01110368,0.000292099,0.0008341194,0.0001773746,0.0004417702,0.1033328],"genre_scores_gemma":[0.9770344,0.000713643,0.017146,0.0003807159,0.0001671041,0.0001766965,0.0000234184,0.00002083887,0.004337137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0069323,"threshold_uncertainty_score":0.03666198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2914305467021117,"score_gpt":0.543846843305784,"score_spread":0.2524162966036723,"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."}}