{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008981174,0.00004631639,0.00008036379,0.00005898032,0.0001593959,0.0000494213,0.0000896674,0.0000575232,0.0005504332],"category_scores_gemma":[0.0001107124,0.00004206536,0.00002617876,0.000284139,0.00007237552,0.0001562615,0.000009085958,0.00006579742,0.00006672491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004429929,"about_ca_system_score_gemma":0.00005696099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004775376,"about_ca_topic_score_gemma":0.03690095,"domain_scores_codex":[0.9993117,0.00005441384,0.0001295851,0.0001063779,0.0001891668,0.0002087088],"domain_scores_gemma":[0.9996068,0.0002258066,0.00002980256,0.00004278804,0.00004007662,0.0000547651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000274276,0.000115376,0.9595026,0.000007714016,0.000004106272,0.00002088247,0.00102497,0.0003047809,0.00004074609,0.02040586,0.0004313394,0.01811424],"study_design_scores_gemma":[0.0008552266,0.00001788968,0.9633226,0.000009992303,0.000007216886,1.278123e-7,0.001954306,0.02233397,0.0001277717,0.004554308,0.006659898,0.0001567354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5789999,0.0000345901,0.05885314,0.003076439,0.0001622109,0.0002073054,9.583463e-7,0.0001181409,0.3585473],"genre_scores_gemma":[0.9978288,0.000001926069,0.0009598613,0.0005813938,0.00007937493,0.000001352004,0.000002630767,0.000002826545,0.0005417703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4188289,"threshold_uncertainty_score":0.9806731,"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."}}