{"id":"W2118158571","doi":"10.1109/wse.2001.988788","title":"Maintenance support for web sites: a case study","year":2001,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Web application; World Wide Web; Data science","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":[0.0003334803,0.00008171314,0.0001231851,0.0001067174,0.0001084909,0.0001353074,0.0004631894,0.00001662628,0.00007076591],"category_scores_gemma":[0.00004326046,0.00006234625,0.00006223814,0.0004844952,0.00001173301,0.0002848121,0.0001374357,0.00003559712,0.00008076434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000117456,"about_ca_system_score_gemma":0.00004352278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001356057,"about_ca_topic_score_gemma":0.0004040983,"domain_scores_codex":[0.9991577,0.00001938103,0.0001513438,0.0003337816,0.0001107746,0.0002270499],"domain_scores_gemma":[0.9991798,0.00006779104,0.00003547135,0.0005795819,0.00006482961,0.00007246432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004573003,0.003769164,0.2360808,0.00004397681,0.00058994,0.05635502,0.01070645,0.0001396971,0.00195275,0.0276261,0.4187745,0.2439159],"study_design_scores_gemma":[0.00302625,0.001581614,0.001125331,0.00001368788,0.0001186991,0.009404036,0.01220495,0.7853843,0.0001221284,0.0005158851,0.1856938,0.000809291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.485126,0.000007534422,0.5084432,0.0005827649,0.00007763332,0.000202926,0.000009230032,0.0002096451,0.005341037],"genre_scores_gemma":[0.9564421,0.000001862232,0.03073731,0.0003840151,0.00003867897,0.00002729715,0.000004044531,0.00000433204,0.01236032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7852446,"threshold_uncertainty_score":0.2542406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04130312090426744,"score_gpt":0.3013192520659108,"score_spread":0.2600161311616433,"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."}}