{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02868117,0.0005048228,0.001533682,0.0002417856,0.001071226,0.0003134214,0.001305838,0.0003750913,0.0002798884],"category_scores_gemma":[0.02576299,0.0004383579,0.00041914,0.001151048,0.0001089622,0.00006700565,0.0002002249,0.001197886,0.0004815065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003955056,"about_ca_system_score_gemma":0.001142382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007874353,"about_ca_topic_score_gemma":0.002633304,"domain_scores_codex":[0.967075,0.02949738,0.0006576088,0.0008196605,0.001405393,0.0005448848],"domain_scores_gemma":[0.987747,0.01044724,0.0007372422,0.0005847753,0.000275872,0.0002078626],"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":[0.00000693645,0.00005011322,0.002434652,0.0002768887,0.00005911576,0.000008488527,0.0001450088,0.0006452436,2.526721e-9,0.00008088276,0.0002598544,0.9960328],"study_design_scores_gemma":[0.0005539117,0.0001770784,0.01080159,0.002887664,0.000272121,2.986428e-7,0.00001631856,0.04726603,2.405146e-8,0.00004156538,0.9373388,0.0006446264],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003142233,0.97858,0.00132293,0.0003198929,0.001392248,0.001654046,0.000124276,0.0004186395,0.01615657],"genre_scores_gemma":[0.07394464,0.9206663,0.0001609668,0.0004020843,0.001786393,0.00004780854,0.002327848,0.0001649669,0.0004990404],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9953882,"threshold_uncertainty_score":0.9998068,"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."}}