{"id":"W2115588921","doi":"","title":"INTRODUCTION TO THE SPECIAL ISSUE ON NOVEL PERSPECTIVES ON TRUST IN INFORMATION SYSTEMS","year":2010,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Distrust; Publication; Multitude; Novelty; Construct (python library); Field (mathematics); Engineering ethics; Psychology; Computer science; Data science; Sociology; Political science; Social psychology; Law","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"],"consensus_categories":[],"category_scores_codex":[0.009216201,0.0001450958,0.0003064673,0.001049582,0.0003374663,0.0008822859,0.0009032628,0.0002603563,0.00002461932],"category_scores_gemma":[0.01037277,0.00007963819,0.0001936266,0.001068981,0.00002583943,0.002575292,0.00004743941,0.0006928838,0.0006186425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000689344,"about_ca_system_score_gemma":0.0001031013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001981567,"about_ca_topic_score_gemma":0.0000208078,"domain_scores_codex":[0.9957877,0.0001697119,0.001785215,0.0001077557,0.001943831,0.0002058018],"domain_scores_gemma":[0.9935477,0.000522074,0.00333938,0.0004742304,0.002054779,0.00006185163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005141771,0.0001899943,0.01800965,0.00001818023,0.0000726693,1.506332e-7,0.02629573,0.06929675,0.0002125414,0.1626634,0.7142034,0.00852339],"study_design_scores_gemma":[0.0008826589,0.0001512793,0.05263998,0.00002844553,0.00001253133,0.00002214902,0.02532111,0.001337617,0.00007350828,0.00007648292,0.9193577,0.000096501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7505957,0.0000239951,0.009602284,0.1165449,0.09308439,0.00508963,0.0003814888,0.0001247828,0.02455288],"genre_scores_gemma":[0.9893842,0.000002855898,0.00007314025,0.0004454539,0.007776693,0.00004594633,0.000005820839,0.00000615193,0.002259782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2387885,"threshold_uncertainty_score":0.9979633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736571185087435,"score_gpt":0.3163141591554445,"score_spread":0.2889484473045702,"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."}}