{"id":"W2351124331","doi":"","title":"CSS Based Segmentation of Web Pages","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Web page; Preprocessor; Cluster analysis; Parsing; Segmentation; Information retrieval; HTML element; Process (computing); Data mining; Artificial intelligence; World Wide Web; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.00008346538,0.0000870396,0.0001240099,0.0001415244,0.0001411748,0.00003202463,0.0006607174,0.00002959594,0.000008866863],"category_scores_gemma":[4.091575e-7,0.00008597481,0.00007118528,0.0005560876,0.00004972655,0.0001738779,0.0001120403,0.00005042559,0.00007088343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001535115,"about_ca_system_score_gemma":0.00007120014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009782791,"about_ca_topic_score_gemma":0.000002148614,"domain_scores_codex":[0.9992166,0.00002751528,0.0002189447,0.0002832578,0.0001304631,0.000123189],"domain_scores_gemma":[0.9992235,0.00005616139,0.0001037849,0.0004891003,0.00007985986,0.0000476102],"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":[0.000003756689,0.0008057259,0.008321987,0.00008325028,0.0001295058,0.00000875456,0.001218462,0.002119029,0.3178895,0.009751483,0.04726132,0.6124072],"study_design_scores_gemma":[0.001367565,0.00009336253,0.01452025,0.00004061425,0.00005979589,0.00006127799,0.00004728554,0.2809118,0.2271274,0.0006616808,0.4744297,0.0006792473],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009144618,0.0000603518,0.9896039,0.0005047242,0.000008189907,0.0001440808,0.00001580627,0.000117377,0.0004009293],"genre_scores_gemma":[0.2979955,0.00001982818,0.7014635,0.0002474641,0.00004168223,0.0000867786,0.00005228719,0.000005224595,0.00008764971],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.611728,"threshold_uncertainty_score":0.3505951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865682888311355,"score_gpt":0.2351980580747528,"score_spread":0.2165412291916393,"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."}}