{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003114501,0.0003647899,0.0005144836,0.0001784588,0.0002441256,0.0003526632,0.004239618,0.0001548568,0.00008467726],"category_scores_gemma":[0.001160995,0.0002458489,0.0001263344,0.0006122185,0.0002472151,0.0005011096,0.0007427784,0.0003527133,0.00009483803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002738431,"about_ca_system_score_gemma":0.0001983043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003706838,"about_ca_topic_score_gemma":0.000009964817,"domain_scores_codex":[0.9975799,0.00004860656,0.0003960335,0.000859509,0.0006377337,0.0004782698],"domain_scores_gemma":[0.9971231,0.0002140231,0.0002490106,0.001846355,0.0003267686,0.000240751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006723342,0.0005328376,0.00384689,0.00004599845,0.000108441,0.00001663431,0.002406659,0.00000513441,0.06466699,0.3999384,0.01682317,0.5115415],"study_design_scores_gemma":[0.008989932,0.009430676,0.4150101,0.0046055,0.000811359,0.0005732208,0.005578854,0.1380861,0.1121479,0.2631967,0.03477268,0.006797017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353897,0.0001381692,0.0002841899,0.0302176,0.0003095303,0.0003095714,0.00003240467,0.0001752085,0.03314363],"genre_scores_gemma":[0.9925405,0.000226036,0.003239156,0.002890717,0.00007059478,0.00001174614,0.000004649832,0.00001264626,0.001003977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5047445,"threshold_uncertainty_score":0.9999994,"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."}}