{"id":"W2170965401","doi":"10.1145/1290067.1290079","title":"Semantic similarity based trust computation in websites","year":2007,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; World Wide Web; Trustworthiness; Similarity (geometry); Domain (mathematical analysis); Dependency (UML); Information retrieval; Web search engine; Order (exchange); Web page; Internet privacy; Web navigation; Artificial intelligence","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":[0.002966558,0.0004707096,0.001408365,0.003488702,0.001111491,0.002743559,0.001501132,0.001351049,0.001135667],"category_scores_gemma":[0.0248879,0.0005004878,0.0009112865,0.002686843,0.001398295,0.004133821,0.002109906,0.0009168424,0.0002232758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00321268,"about_ca_system_score_gemma":0.00134645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010579,"about_ca_topic_score_gemma":0.006660553,"domain_scores_codex":[0.9950334,0.001727319,0.0004455731,0.0007022033,0.001723227,0.0003683363],"domain_scores_gemma":[0.9905044,0.004789243,0.00131438,0.001024328,0.001870025,0.000497537],"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":[0.001503775,0.0005656438,0.02268641,0.0003385249,0.0003599489,0.0006212476,0.001774697,0.5955479,0.01060282,0.06962477,0.002230888,0.2941435],"study_design_scores_gemma":[0.00001078325,0.00004052444,0.001204415,0.000007480378,0.00001584753,0.00004836801,0.00009841652,0.9844208,0.001295942,0.01265071,0.0001940121,0.00001273945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2760589,0.0003620796,0.7202246,0.0003315517,0.00002631597,0.0001237522,0.0001082799,0.0007689291,0.001995577],"genre_scores_gemma":[0.9506869,0.00005664037,0.04863106,0.00001625486,0.0000132562,0.0000365108,0.00008993207,0.00001892101,0.0004506183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.010579,"threshold_uncertainty_score":0.02330971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241584337220283,"score_gpt":0.3349706481555315,"score_spread":0.3125548047833287,"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."}}