{"id":"W3109231514","doi":"10.3390/info11110539","title":"Addressing Misinformation in Online Social Networks: Diverse Platforms and the Potential of Multiagent Trust Modeling","year":2020,"lang":"en","type":"article","venue":"Information","topic":"Access Control and Trust","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Misinformation; Computer science; Trustworthiness; Internet privacy; Order (exchange); Data science; Reflection (computer programming); Collective intelligence; World Wide Web; Computer security; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0003643513,0.00005544426,0.0001115355,0.00004447638,0.0003300113,0.00009876709,0.0001051371,0.00006690422,0.0000139028],"category_scores_gemma":[0.0001139806,0.00003991813,0.00003590559,0.0001596605,0.0001137725,0.00241845,0.00004317833,0.0001046773,0.000002771277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002600754,"about_ca_system_score_gemma":0.0000360247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007264479,"about_ca_topic_score_gemma":0.0001538548,"domain_scores_codex":[0.9992324,0.00002465405,0.0003449809,0.00003654608,0.00023826,0.0001232146],"domain_scores_gemma":[0.9996488,0.00002579352,0.0001886418,0.00002952954,0.00007270003,0.00003451888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008072684,0.0000273593,0.001208688,0.00007586875,0.00002928473,7.400782e-7,0.2767598,0.3836397,0.000005954295,0.02662132,0.0001051408,0.3107189],"study_design_scores_gemma":[0.001682028,0.000005876127,0.001945045,0.00001157639,0.00001066347,1.430754e-7,0.03268934,0.9630387,0.000001357456,0.0003897813,0.0001760811,0.00004933843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178662,0.0000698423,0.07473469,0.003370388,0.0001468873,0.0004632656,0.00001683408,0.00004141097,0.003290516],"genre_scores_gemma":[0.9990631,0.00005462906,0.0001147499,0.000553728,0.0001656148,0.000003722566,0.00004136888,0.000001638028,0.000001419417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5793991,"threshold_uncertainty_score":0.2538213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06008268616445651,"score_gpt":0.3023274843960031,"score_spread":0.2422447982315466,"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."}}