{"id":"W2164704937","doi":"10.1109/wi-iat.2009.79","title":"Classifying Web Pages by Genre: An n-Gram Approach","year":2009,"lang":"en","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"n-gram; Computer science; Web page; Set (abstract data type); Information retrieval; Range (aeronautics); Byte; Support vector machine; Artificial intelligence; Data mining; World Wide Web; Language model; Engineering","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":[0.0004410066,0.0001136901,0.0001089464,0.00004884734,0.0001701123,0.0002315786,0.0006280702,0.00008788088,0.00002469213],"category_scores_gemma":[0.00001818242,0.00009509853,0.0000424881,0.0003209889,0.00001806417,0.0005587344,0.00005906215,0.0001667526,0.00006154126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002265666,"about_ca_system_score_gemma":0.00003719393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000311145,"about_ca_topic_score_gemma":8.760853e-7,"domain_scores_codex":[0.9988865,0.00009754831,0.0001585277,0.0003558447,0.0002062743,0.0002953079],"domain_scores_gemma":[0.999339,0.00002334676,0.00004322691,0.0004007456,0.0000352762,0.0001584311],"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":[0.000006719895,0.0003414793,0.001175327,0.00001162009,0.00001211342,0.000008385969,0.000867195,0.00006411225,0.02157263,0.5444798,0.03146564,0.399995],"study_design_scores_gemma":[0.0006479546,0.0003571078,0.003988562,0.00001034073,0.000008279387,0.00004258203,0.0003244879,0.9039675,0.02057863,0.01003844,0.05923161,0.0008044905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006318663,0.0001838382,0.9584558,0.002433125,0.0001231194,0.00009712658,0.000001489078,0.0006069831,0.03177986],"genre_scores_gemma":[0.8794311,0.00001697625,0.1169416,0.001885763,0.00005218109,0.000003486681,0.00001526084,0.000003971104,0.001649658],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9039034,"threshold_uncertainty_score":0.3878005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04927804363426996,"score_gpt":0.2888195418324475,"score_spread":0.2395414981981775,"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."}}