{"id":"W2155085300","doi":"10.1109/hicss.2008.53","title":"An Examination of Genre Attributes for Web Page Classification","year":2008,"lang":"en","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Web page; Set (abstract data type); Information retrieval; Identification (biology); World Wide Web; Recall; Precision and recall","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":[0.02758641,0.001110414,0.001501405,0.004288444,0.001723798,0.00393315,0.0008136441,0.0009738601,0.001250474],"category_scores_gemma":[0.1126928,0.0003740002,0.001280372,0.004867392,0.0008324605,0.004370969,0.0009079208,0.00245849,0.0007330229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009368391,"about_ca_system_score_gemma":0.0009086823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002358591,"about_ca_topic_score_gemma":0.003266965,"domain_scores_codex":[0.9806874,0.01189356,0.001719689,0.001632005,0.003632244,0.0004349641],"domain_scores_gemma":[0.8187288,0.1564519,0.005588732,0.009028865,0.007904597,0.002297011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003782719,0.002671527,0.2883328,0.001233948,0.0009941119,0.000323703,0.001382782,0.01431471,0.02202571,0.001236077,0.008835657,0.6548662],"study_design_scores_gemma":[0.0005543825,0.009446396,0.4723636,0.0008851315,0.00157567,0.00318239,0.00351305,0.413423,0.05145427,0.00966251,0.03330858,0.0006310703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305342,0.005001844,0.04941183,0.001374005,0.0007084468,0.0007615857,0.003265453,0.001767573,0.007174913],"genre_scores_gemma":[0.9124268,0.001005101,0.08129075,0.0002402466,0.000274891,0.0002012951,0.003274521,0.0001867525,0.001099628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02758641,"threshold_uncertainty_score":0.1458927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191895850919988,"score_gpt":0.3147126104816039,"score_spread":0.1955230253896051,"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."}}