{"id":"W3091348074","doi":"10.1145/3408292","title":"A Survey on Trust Evaluation Based on Machine Learning","year":2020,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Access Control and Trust","field":"Social Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; University of Alberta","funders":"National Postdoctoral Program for Innovative Talents; China Electronics Technology Group Corporation; Higher Education Discipline Innovation Project; National Natural Science Foundation of China; Academy of Finland; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; China Postdoctoral Science Foundation","keywords":"Computer science; Process (computing); Machine learning; Artificial intelligence; Granularity; Automation; Data science; Knowledge management","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":[0.007694595,0.001161927,0.00158312,0.007368071,0.0007723045,0.00246008,0.001043611,0.001233661,0.003982007],"category_scores_gemma":[0.03017078,0.0004732036,0.001087893,0.008847481,0.001186834,0.004871808,0.0009920166,0.001325706,0.0009471063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003556444,"about_ca_system_score_gemma":0.002949672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004361086,"about_ca_topic_score_gemma":0.003604831,"domain_scores_codex":[0.9931891,0.00336203,0.0007505579,0.0004671413,0.002013126,0.0002180678],"domain_scores_gemma":[0.961624,0.03032429,0.001902684,0.001044269,0.00477252,0.0003322697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009386062,0.00008752503,0.003775114,0.01334479,0.0001964063,0.00009236924,0.0005646467,0.002015115,0.0002597055,0.04354546,0.01974188,0.9162832],"study_design_scores_gemma":[0.000065555,0.0006345656,0.017151,0.04545113,0.001068824,0.001877825,0.002458275,0.0162424,0.00243654,0.1069351,0.805429,0.0002498547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003146103,0.9525884,0.0230173,0.003261206,0.0005800555,0.000120406,0.0001363678,0.0001035433,0.01704672],"genre_scores_gemma":[0.07946128,0.8981867,0.01753222,0.0008299524,0.0008963635,0.0002025871,0.0003014818,0.00004820115,0.00254115],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007694595,"threshold_uncertainty_score":0.04069334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1593665496030791,"score_gpt":0.4166764245528145,"score_spread":0.2573098749497353,"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."}}