{"id":"W2147608180","doi":"10.1109/hicss.2009.68","title":"An N-Gram Based Approach to Automatically Identifying Web Page Genre","year":2009,"lang":"en","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Killam Trusts","keywords":"Computer science; Web page; Feature (linguistics); Information retrieval; Set (abstract data type); Front page; Listing (finance); World Wide Web; Static web page; Artificial intelligence; Web navigation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007536707,0.0001298896,0.0001381227,0.0001223625,0.0001691482,0.000410032,0.0008932836,0.00007693878,0.00004606179],"category_scores_gemma":[0.00005406319,0.0001126932,0.00005952144,0.0005838343,0.00001136912,0.0004453001,0.00006067337,0.0001339979,0.0002211623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003328372,"about_ca_system_score_gemma":0.00008090861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003236446,"about_ca_topic_score_gemma":0.000001312562,"domain_scores_codex":[0.9985586,0.0001257606,0.0002364774,0.0004132708,0.0003204145,0.0003454365],"domain_scores_gemma":[0.9989344,0.00003833833,0.00003790193,0.0006149353,0.00006718533,0.000307237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001107135,0.0005810052,0.0004761112,0.00004067349,0.00001051956,0.00002209418,0.001300096,0.00176788,0.03596777,0.8573684,0.002149876,0.1003045],"study_design_scores_gemma":[0.0001650262,0.00009976138,0.003334024,0.00001137341,0.000002752937,0.000005256276,0.00004101189,0.9898438,0.00339517,0.002429693,0.0004666562,0.0002054714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01087582,0.000009769008,0.9701905,0.001726158,0.0001129213,0.0002018054,0.000001194926,0.0009239122,0.01595798],"genre_scores_gemma":[0.5951361,1.855218e-7,0.4014055,0.003208908,0.00002633615,0.000005143579,0.000004962484,0.000003357683,0.000209461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9880759,"threshold_uncertainty_score":0.4595497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04993646941629454,"score_gpt":0.3202699916950935,"score_spread":0.270333522278799,"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."}}