{"id":"W2124866449","doi":"10.1002/asi.20075","title":"Localization of Web design: An empirical comparison of German, Japanese, and United States Web site characteristics","year":2004,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":273,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"German; Web site; Modal; Graphics; Computer science; Web design; World Wide Web; Interface design; Design elements and principles; Interface (matter); Web page; Information retrieval; Human–computer interaction; Geography; Software engineering; Computer graphics (images); The Internet; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001717125,0.00005471633,0.0002218991,0.0002157813,0.0003377222,0.00005677074,0.0002642227,0.00005659469,4.053794e-7],"category_scores_gemma":[0.0012389,0.00003989698,0.00005256607,0.001948181,0.004002022,0.0008810069,0.00004991009,0.0001019775,1.343649e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006405489,"about_ca_system_score_gemma":0.0004748678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005446871,"about_ca_topic_score_gemma":0.00001034772,"domain_scores_codex":[0.9989292,0.00003524775,0.0004144989,0.00005005412,0.0004275835,0.000143385],"domain_scores_gemma":[0.9975013,0.0001495651,0.001105504,0.00007424056,0.001107333,0.00006205474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000373798,0.0005017585,0.1951464,0.0002475907,0.0001537846,4.657601e-7,0.5229852,0.001421215,0.007677566,0.01561908,0.003424928,0.2524483],"study_design_scores_gemma":[0.003024832,0.003979743,0.02669115,0.0003611477,0.0002200719,0.00003521639,0.7628534,0.06677368,0.004811581,0.01293707,0.1177024,0.0006096694],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953851,0.00001729409,0.001724494,0.002571077,0.00007011145,0.0001175438,0.00001305724,0.00001259513,0.00008875762],"genre_scores_gemma":[0.9977717,0.0002627125,0.001598191,0.0003405066,0.00001787564,0.000001400086,0.000002057705,0.000001999877,0.000003497413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2518386,"threshold_uncertainty_score":0.9987085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630863859822378,"score_gpt":0.3526639400901925,"score_spread":0.3263553014919687,"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."}}