{"id":"W4401399530","doi":"10.36253/979-12-215-0413-2.10","title":"Challenges in archiving the personalized web","year":2024,"lang":"en","type":"book-chapter","venue":"Proceedings e report","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Personalization; World Wide Web; Computer science; Rendering (computer graphics); Key (lock); Web navigation; Web intelligence; The Internet; Data science; Web development; Computer security; Artificial intelligence","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":[0.01349149,0.0004154924,0.0008506268,0.002869371,0.002950565,0.01282596,0.002520496,0.00215801,0.002937498],"category_scores_gemma":[0.03012572,0.0007474618,0.0005415523,0.006657626,0.005051014,0.0172315,0.003880591,0.005768199,0.00323904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001921994,"about_ca_system_score_gemma":0.003569583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004628716,"about_ca_topic_score_gemma":0.005737823,"domain_scores_codex":[0.9938351,0.002436873,0.0003015509,0.0008468811,0.002369502,0.0002101779],"domain_scores_gemma":[0.9750237,0.01287658,0.0006502349,0.008192345,0.002822234,0.0004348866],"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":[0.00003039762,0.00007552222,0.003781847,0.0004858999,0.0000384149,0.0001468888,0.009118306,0.004957485,0.001296978,0.3087969,0.04466642,0.6266049],"study_design_scores_gemma":[0.0000084568,0.00003334452,0.004705825,0.0007784042,0.00002610869,0.0006373267,0.008315427,0.01456172,0.003329435,0.5296558,0.4378754,0.00007282259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03738401,0.03288691,0.7642725,0.06957272,0.001613702,0.000433787,0.002413292,0.002300282,0.08912271],"genre_scores_gemma":[0.1549772,0.03041723,0.7715827,0.006947039,0.001829367,0.0008290945,0.001940372,0.001448489,0.03002856],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01349149,"threshold_uncertainty_score":0.07135069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06863849345386841,"score_gpt":0.2718004443288881,"score_spread":0.2031619508750197,"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."}}