{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001143999,0.0009629452,0.001067259,0.001933595,0.0004039458,0.0006836416,0.002719473,0.0006557627,0.0002633524],"category_scores_gemma":[0.00004472976,0.0009237745,0.0001967574,0.001282014,0.0002287895,0.001539342,0.0002674292,0.001970108,0.0005206788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000831801,"about_ca_system_score_gemma":0.0001349605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003975881,"about_ca_topic_score_gemma":0.00008166729,"domain_scores_codex":[0.9935725,0.0005327472,0.001999667,0.001809245,0.0008177227,0.001268146],"domain_scores_gemma":[0.9966865,0.0003501508,0.000676015,0.00193671,0.0001585304,0.0001921492],"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":[0.0007892367,0.01462022,0.02887243,0.001135567,0.001117757,0.006157047,0.03328687,0.3271333,0.008646353,0.3752455,0.03945904,0.1635367],"study_design_scores_gemma":[0.005919263,0.00246596,0.8328986,0.002499261,0.00002054396,0.0004505607,0.0002730679,0.1127605,0.01465469,0.009328793,0.01480676,0.003922019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308407,0.0001172844,0.05020162,0.0001490693,0.004805553,0.001512836,0.00001294649,0.0009960883,0.01136393],"genre_scores_gemma":[0.9933524,0.00001322969,0.004900605,0.0002810349,0.0006261565,0.0001103871,0.00003267073,0.00008196994,0.0006015894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8040262,"threshold_uncertainty_score":0.9993213,"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."}}