{"id":"W4251660770","doi":"10.1145/633314.633322","title":"Trust in design","year":2000,"lang":"en","type":"article","venue":"CHI '00 extended abstracts on Human factors in computer systems - CHI '00","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Entertainment; Computer science; Internet privacy; Computational trust; Human–computer interaction; World Wide Web; Sociology; Political science","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":[0.04623055,0.001327987,0.001178412,0.002724906,0.006713221,0.01794296,0.002583782,0.006441602,0.01192433],"category_scores_gemma":[0.08152222,0.001227836,0.001182901,0.002102972,0.0375542,0.01953583,0.01092352,0.006161874,0.002723397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01026026,"about_ca_system_score_gemma":0.009949613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005845711,"about_ca_topic_score_gemma":0.002866702,"domain_scores_codex":[0.9166583,0.06035917,0.003873783,0.005346627,0.01068572,0.00307641],"domain_scores_gemma":[0.9190904,0.04753512,0.004948785,0.01619187,0.008766173,0.003467573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003417278,0.00003354309,0.0008530965,0.0003256783,0.00004993727,0.0001280132,0.008217623,0.001847407,0.0001739282,0.9549224,0.00542871,0.0279854],"study_design_scores_gemma":[0.00004828686,0.00009626187,0.0002766013,0.0005864474,0.00004537974,0.0003042629,0.002923227,0.002254917,0.0004564309,0.8158755,0.1770936,0.00003911198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01375833,0.01377049,0.4971539,0.06143865,0.001821083,0.0005536779,0.0001197116,0.0007124569,0.4106717],"genre_scores_gemma":[0.8440754,0.006306404,0.09821791,0.007126339,0.0005834031,0.001339018,0.0001377799,0.0004646507,0.04174898],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04623055,"threshold_uncertainty_score":0.2444935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05398481646072237,"score_gpt":0.2998610646474619,"score_spread":0.2458762481867395,"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."}}