{"id":"W4401720873","doi":"10.1109/rew61692.2024.00021","title":"How Much Do You Know About Your Users? A Study of Developer Awareness About Diverse Users","year":2024,"lang":"en","type":"article","venue":"","topic":"Persona Design and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Need to know; Internet privacy; World Wide Web; Computer security","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":[0.01002308,0.000269546,0.0004402857,0.001436511,0.005489097,0.005114964,0.0005861492,0.001586854,0.001593197],"category_scores_gemma":[0.04587155,0.0005029457,0.0002689063,0.0009933278,0.003562468,0.006975703,0.003570444,0.00293531,0.0005308596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459958,"about_ca_system_score_gemma":0.002826488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00611776,"about_ca_topic_score_gemma":0.008992391,"domain_scores_codex":[0.9919213,0.005399646,0.0003298153,0.000439031,0.001362447,0.0005477656],"domain_scores_gemma":[0.9512936,0.03164193,0.005131193,0.001477895,0.005215184,0.005240266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004197832,0.0001483034,0.1228173,0.0001156955,0.00001687765,0.0005581931,0.8340017,0.00002595374,0.000848258,0.00097113,0.002559552,0.03789503],"study_design_scores_gemma":[0.000006196515,0.0001699177,0.03881614,0.0002223726,0.00002001218,0.000868971,0.9352549,0.0001168966,0.0002872083,0.0007249015,0.02347533,0.00003710372],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789792,0.001325429,0.00126304,0.008709142,0.0000943518,0.00002781466,0.00001997394,0.00001730824,0.009563804],"genre_scores_gemma":[0.9947389,0.001051043,0.0003882004,0.001976442,0.00002590611,0.00002622466,0.00001275589,0.00001153607,0.001769131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01002308,"threshold_uncertainty_score":0.05300778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05129733227206724,"score_gpt":0.3029838733203059,"score_spread":0.2516865410482386,"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."}}