{"id":"W1989942620","doi":"10.1109/pst.2010.5593256","title":"The relationship of trust, demand, and utility: Be more trustworthy, then i will buy more","year":2010,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Regret; Default; Order (exchange); Computer science; Trustworthiness; Probabilistic logic; Business; Agent-based model; Computational trust; Computer security; Microeconomics; Economics; Reputation; Artificial intelligence; Finance; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003624157,0.0002632624,0.0003672899,0.0008440791,0.0009131213,0.002449863,0.0004029947,0.001217427,0.004155843],"category_scores_gemma":[0.0400943,0.0002979192,0.0002523948,0.0009127959,0.003484643,0.00476811,0.001405875,0.001633551,0.0003477572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813384,"about_ca_system_score_gemma":0.0008133212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004758297,"about_ca_topic_score_gemma":0.003384615,"domain_scores_codex":[0.9976345,0.001344402,0.0001139224,0.0002240956,0.0004637774,0.0002192109],"domain_scores_gemma":[0.9586673,0.02716813,0.007893474,0.001945839,0.002476514,0.00184881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001185192,0.0007103053,0.3519437,0.0004853019,0.000544839,0.001187991,0.01017574,0.03046968,0.003115459,0.4780474,0.004557227,0.1175772],"study_design_scores_gemma":[0.0001407902,0.0008783909,0.2040965,0.0002344672,0.0002529621,0.00193534,0.008434233,0.106925,0.002103552,0.6634741,0.01127852,0.0002460731],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8734198,0.0009212143,0.05973646,0.0084379,0.00006247647,0.00006378689,0.000209817,0.00005914386,0.0570894],"genre_scores_gemma":[0.9986708,0.00009280898,0.0007164244,0.00004768934,0.000008463011,0.000006950756,0.0000091929,0.000003953432,0.0004437203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004758297,"threshold_uncertainty_score":0.01916659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677964214902881,"score_gpt":0.3121951883776745,"score_spread":0.2854155462286457,"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."}}