{"id":"W1875351242","doi":"10.1007/11429760_2","title":"Trust, Untrust, Distrust and Mistrust – An Exploration of the Dark(er) Side","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":185,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Distrust; Great Rift; Computer science; Field (mathematics); Phenomenon; Space (punctuation); Affect (linguistics); Maturity (psychological); Internet privacy; Epistemology; Computer security; Data science; Public relations; Political science; Psychology; Law; Physics; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005512385,0.00036622,0.0003770927,0.0003215454,0.0003667179,0.000207569,0.003300411,0.0004000231,0.000008044211],"category_scores_gemma":[0.00005165346,0.0002862308,0.00007769591,0.0005919614,0.001651161,0.0008318453,0.001255643,0.0007113549,0.000003284367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001184162,"about_ca_system_score_gemma":0.0002781513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002915456,"about_ca_topic_score_gemma":0.0002104899,"domain_scores_codex":[0.9974343,0.00003614117,0.0004798274,0.001131707,0.0005431428,0.0003748613],"domain_scores_gemma":[0.997158,0.0001499921,0.0003633767,0.002052406,0.0001701895,0.0001060286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003108311,0.00004127447,0.0001212186,0.00002383458,0.000006703418,0.000004534882,0.0006462636,0.00278726,0.0001821243,0.2624255,0.00001138221,0.7337468],"study_design_scores_gemma":[0.0002905594,0.0001377425,0.0008696765,0.000158752,0.00001638765,0.0000749789,0.000001796724,0.3363478,0.004376246,0.6540174,0.003106865,0.0006017335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002395852,0.0003220035,0.9919232,0.002536934,0.0003558596,0.0004073701,0.00001332722,0.0001205492,0.001924947],"genre_scores_gemma":[0.8517668,0.00007417834,0.147213,0.0005466532,0.0002154938,0.00001860663,0.000005102818,0.00002107207,0.000139102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.849371,"threshold_uncertainty_score":0.999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720661141989229,"score_gpt":0.2397963191916873,"score_spread":0.222589707771795,"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."}}