{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002338154,0.0008850988,0.0003494534,0.00855916,0.004275061,0.02280042,0.001053153,0.002767655,0.007822059],"category_scores_gemma":[0.005184177,0.0004343577,0.0004667624,0.00756739,0.028498,0.02783586,0.005870682,0.005609526,0.001582799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004431678,"about_ca_system_score_gemma":0.002440159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009638785,"about_ca_topic_score_gemma":0.0146955,"domain_scores_codex":[0.9975733,0.001514182,0.00005654523,0.0002690316,0.0004608053,0.0001261288],"domain_scores_gemma":[0.9956655,0.002880076,0.0002791627,0.0006119566,0.0002877928,0.0002754589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008179863,0.00001105033,0.0006477933,0.00009331053,0.000005808402,0.0001759411,0.01825675,0.0002419068,0.0002741681,0.9641533,0.005346574,0.01078518],"study_design_scores_gemma":[0.000005148339,0.000008683429,0.001322321,0.0003519226,0.000008459286,0.0003910842,0.02330396,0.001016125,0.0003693647,0.5854732,0.3877351,0.00001471701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03325661,0.02238942,0.08191092,0.03705036,0.0007252143,0.00007401947,0.0008805347,0.0004136697,0.8232993],"genre_scores_gemma":[0.7752274,0.03245901,0.09219932,0.005664389,0.001852985,0.0002356913,0.0009941199,0.001013255,0.09035387],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02280042,"threshold_uncertainty_score":0.03215426,"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."}}