{"id":"W34295013","doi":"10.1021/acs.organomet.1c00253","title":"An Empirical Investigation of Trusting Bases in Intitial Trust Formation with National Identity Systems","year":2005,"lang":"en","type":"article","venue":"Americas Conference on Information Systems","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software deployment; Context (archaeology); Identity (music); Empirical research; Computational trust; Perception; Computer science; Knowledge management; Information system; System deployment; Psychology; Political science; Epistemology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001175484,0.0001410366,0.000281433,0.0004030608,0.0002508068,0.0004707064,0.0002605514,0.0001060573,0.00003653046],"category_scores_gemma":[0.0002176452,0.0001241005,0.00003118246,0.0006376957,0.0002412384,0.009912468,0.00001481644,0.0001475417,0.00006575852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002805908,"about_ca_system_score_gemma":0.0004543908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006390114,"about_ca_topic_score_gemma":0.000847227,"domain_scores_codex":[0.9973403,0.0003574952,0.0008197157,0.0001348876,0.001112279,0.0002353406],"domain_scores_gemma":[0.9980238,0.0001336423,0.0007763588,0.0001390502,0.0008070027,0.0001201536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003649754,0.0001911908,0.158856,0.0003630828,0.00004662712,0.000002714956,0.06564668,0.03821591,0.0002401236,0.7076813,0.0005119041,0.02787951],"study_design_scores_gemma":[0.003201141,0.0007248248,0.06946022,0.0008611922,0.00004231515,0.00002482025,0.1470741,0.7634664,0.0002537217,0.00059319,0.01334187,0.0009562196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8552247,0.0000266973,0.06075343,0.0008216136,0.0003995992,0.001125571,0.00006506302,0.0001640013,0.08141929],"genre_scores_gemma":[0.9990686,0.00001468748,0.0002747832,0.0002030829,0.0002209408,0.0001036475,0.00007958768,0.000005463855,0.00002924741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7252505,"threshold_uncertainty_score":0.9659984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626918717969431,"score_gpt":0.360451421870505,"score_spread":0.2977595500735619,"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."}}