{"id":"W3133939639","doi":"10.21606/drs.2010.24","title":"Everyday People: Enabling User Expertise in Socially Responsible Design","year":2010,"lang":"en","type":"article","venue":"Proceedings of DRS","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Human–computer interaction","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":[0.03103446,0.001217933,0.0006908723,0.002505529,0.008393191,0.01020247,0.002783129,0.004675778,0.005260233],"category_scores_gemma":[0.03218344,0.0009729934,0.001154947,0.0009675034,0.02343986,0.01744994,0.02870879,0.003933982,0.0009677707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002460705,"about_ca_system_score_gemma":0.004103965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009936392,"about_ca_topic_score_gemma":0.0009540829,"domain_scores_codex":[0.9379158,0.05075002,0.001289203,0.002755343,0.004850891,0.002438811],"domain_scores_gemma":[0.9704427,0.01946076,0.001373004,0.005035026,0.001479444,0.002209283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001082077,0.0003650234,0.003661283,0.0007471042,0.00005733198,0.001490321,0.5640795,0.003064882,0.007190092,0.3105164,0.002978716,0.1057411],"study_design_scores_gemma":[0.0001349768,0.000432828,0.001752385,0.0008132693,0.00008518565,0.002254137,0.118032,0.008848893,0.006072905,0.5426797,0.3187264,0.000167323],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2062796,0.001693483,0.6039486,0.01976903,0.0003549836,0.000557982,0.00002578162,0.0009585508,0.166412],"genre_scores_gemma":[0.9211125,0.0004638011,0.07166389,0.001038294,0.00006075444,0.0003570027,0.00002295827,0.0001287405,0.005152166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03103446,"threshold_uncertainty_score":0.1641278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733756464313036,"score_gpt":0.2673871689138891,"score_spread":0.2500496042707588,"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."}}