{"id":"W6944842565","doi":"10.21606/drs.2008.24","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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Relevance (law); Empowerment; Field (mathematics); Process (computing); Generative grammar; Participatory design; Engineering design process; Social responsibility","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":[],"consensus_categories":[],"category_scores_codex":[0.000784463,0.0001293657,0.0001862315,0.0005854581,0.00008814111,0.00009082826,0.0007713242,0.0001744933,0.00002357995],"category_scores_gemma":[0.0006922601,0.0001336318,0.00003465659,0.001070135,0.00007768857,0.00136381,0.0001890707,0.0004796868,0.00002114983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007103713,"about_ca_system_score_gemma":0.0002059305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002658567,"about_ca_topic_score_gemma":0.00005565649,"domain_scores_codex":[0.9988233,0.000008580048,0.0003166944,0.0003384229,0.000226669,0.0002862993],"domain_scores_gemma":[0.9990108,0.000082486,0.0002200935,0.0001340736,0.0005249029,0.00002761368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003551861,0.00006451015,0.005436192,0.00001389285,0.000007618301,0.000001801029,0.004060478,0.000001979646,0.7893433,0.1960415,0.001106773,0.003886397],"study_design_scores_gemma":[0.0004554801,0.0001402034,0.01272385,0.00006126759,0.000003390173,0.00002237274,0.0004704976,0.002758212,0.9551414,0.02729389,0.0006818766,0.0002475587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753411,0.00001627242,0.01947204,0.002078251,0.000409829,0.0002383579,2.628714e-7,0.0001995135,0.002244415],"genre_scores_gemma":[0.9081126,0.000003709682,0.09136301,0.0001107881,0.00004447584,0.00004155782,1.652352e-7,0.00001191916,0.000311792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1687476,"threshold_uncertainty_score":0.5449345,"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."}}