{"id":"W7027402428","doi":"","title":"Culturally Appropriate Web Interface Design: Web Crawler Study","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web design; Web crawler; User interface; Interface (matter); Web standards; Web navigation; User interface design; Web Accessibility Initiative","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004876613,0.0001607947,0.0001977814,0.00009344222,0.0001282675,0.0003098682,0.001274784,0.00004067222,0.0001786134],"category_scores_gemma":[0.00004410881,0.0001224714,0.00006767523,0.0004157281,0.00002778178,0.0005780559,0.0003833236,0.0001584241,0.0008398325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003695162,"about_ca_system_score_gemma":0.00007055597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005778519,"about_ca_topic_score_gemma":0.00002330395,"domain_scores_codex":[0.9985248,0.0001517022,0.0002366837,0.0004796729,0.0003185375,0.0002885626],"domain_scores_gemma":[0.9989589,0.00005188092,0.00007557342,0.0007397098,0.00007188228,0.0001020349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000539903,0.002256398,0.003645029,0.0000233067,0.000630295,0.00009999086,0.02149448,0.005342501,0.310829,0.002955928,0.1488909,0.5037782],"study_design_scores_gemma":[0.001757425,0.000518407,0.001039842,0.00004556667,0.00008455569,0.00002727887,0.001052268,0.922426,0.01038884,0.001051759,0.06075416,0.0008539209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4034,0.0001028559,0.5711382,0.005939342,0.000337334,0.000394833,0.000008193036,0.0006778258,0.01800143],"genre_scores_gemma":[0.8781108,0.00000822141,0.1185983,0.0001751323,0.0001203573,0.00001443092,0.000001571688,0.000007933552,0.002963302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9170835,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796604568965034,"score_gpt":0.271459123766458,"score_spread":0.2434930780768077,"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."}}