{"id":"W4390401285","doi":"10.1002/9781394264964.ch1","title":"Observing the Web through the Lens of Websites","year":2023,"lang":"en","type":"other","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"World Wide Web; Hypertext; Visibility; The Internet; Computer science; Search engine indexing; Architecture; Semiotics; Order (exchange); Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002401801,0.0001343259,0.000195765,0.00005483674,0.00008163317,0.0001033983,0.002457273,0.0000715744,0.0004960182],"category_scores_gemma":[0.0000548272,0.00005885812,0.000134451,0.0006074781,0.00007741505,0.0001051697,0.0006492622,0.0001315955,0.0005835922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000553053,"about_ca_system_score_gemma":0.00004853625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849172,"about_ca_topic_score_gemma":0.002647659,"domain_scores_codex":[0.9990972,0.00006519778,0.0001525061,0.000267115,0.000256088,0.0001618718],"domain_scores_gemma":[0.9980428,0.0002955773,0.0001525164,0.001478194,0.00001989688,0.00001100977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[9.76456e-8,0.000005781112,0.00009244753,0.000009674785,0.0001083309,0.000001250923,0.0002003328,0.000008444182,0.00001232234,0.02316318,0.9749943,0.001403836],"study_design_scores_gemma":[0.00003467872,0.000007393884,0.0001120568,0.00009534429,0.0000397068,9.737149e-7,0.0001587639,0.005225448,0.00002139924,0.0003548143,0.9938391,0.0001102589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000962481,0.0007636243,0.01965003,0.006007481,0.0003674242,0.00008283412,0.00003714884,0.0007222617,0.9723596],"genre_scores_gemma":[0.001119635,0.0006388671,0.006588429,0.0004832935,0.0002269226,0.000007308752,0.000005309299,0.0001532381,0.990777],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02280837,"threshold_uncertainty_score":0.7501092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564987199468851,"score_gpt":0.2606438305813641,"score_spread":0.2149939585866756,"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."}}