{"id":"W16404305","doi":"10.1097/01.prs.0000196262.13766.5c","title":"Proceedings of the 20th ACM conference on Hypertext and hypermedia","year":2009,"lang":"en","type":"article","venue":"ACM Conference on Hypertext","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypertext; Computer science; World Wide Web; Hypermedia; Presentation (obstetrics); Social media; Markup language; HTML; Multimedia; Web page; XML","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003980011,0.00150376,0.002294923,0.00238601,0.001856375,0.01207637,0.002578441,0.003411057,0.2053416],"category_scores_gemma":[0.01172751,0.0006714484,0.001260825,0.002939827,0.002582848,0.01153531,0.005178593,0.005675543,0.1117799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728061,"about_ca_system_score_gemma":0.00379744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003616783,"about_ca_topic_score_gemma":0.003948836,"domain_scores_codex":[0.9952602,0.001625933,0.0004047137,0.0008184279,0.001552621,0.0003381914],"domain_scores_gemma":[0.9922862,0.00256969,0.0003227051,0.001317339,0.002037663,0.00146636],"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":[0.0001413046,0.0001208647,0.0006602886,0.0005575408,0.00007705232,0.0002457924,0.0005401867,0.0002281629,0.002056435,0.01418062,0.816978,0.1642137],"study_design_scores_gemma":[0.00001134371,0.0000229131,0.0003177692,0.0001861686,0.00001710525,0.0001312289,0.0001111797,0.000371823,0.0002150142,0.003452532,0.9951479,0.00001505726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007962445,0.1252972,0.1264609,0.05096852,0.1381084,0.001564438,0.008396474,0.00819168,0.5330499],"genre_scores_gemma":[0.02118327,0.06099273,0.03361928,0.01060357,0.01757532,0.0008120117,0.0184493,0.002549613,0.8342149],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7946584,"threshold_uncertainty_score":0.6869361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05153949935545338,"score_gpt":0.2611461444505319,"score_spread":0.2096066450950785,"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."}}