{"id":"W48336578","doi":"10.1007/978-3-642-35139-6_32","title":"Multiple Representations of Web Content for Effective Knowledge Utilization","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Web content; World Wide Web; Presentation (obstetrics); Web modeling; Web development; Web intelligence; Information retrieval; Web navigation; Web standards; Web service; The Internet","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":[0.0007565204,0.000505404,0.0005597179,0.003483783,0.0003811191,0.003225069,0.0008573323,0.0008099646,0.004173884],"category_scores_gemma":[0.005249531,0.0002999679,0.0006200871,0.003952127,0.0004439832,0.005369832,0.00132356,0.0007427205,0.0008149457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008873263,"about_ca_system_score_gemma":0.0008711282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002399466,"about_ca_topic_score_gemma":0.003211316,"domain_scores_codex":[0.9993801,0.0001989985,0.00005487537,0.0001041033,0.0001990927,0.00006273027],"domain_scores_gemma":[0.9985771,0.0007179182,0.0001356567,0.0002242761,0.0002708693,0.000074209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004215729,0.0003849481,0.002680384,0.000572485,0.0001881188,0.0002665575,0.001048061,0.04261445,0.01630211,0.05405119,0.007076964,0.8743933],"study_design_scores_gemma":[0.00004512827,0.0001781259,0.004042927,0.000242389,0.0003197159,0.0002917441,0.001057974,0.8492848,0.01462608,0.1152369,0.0146032,0.00007109912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1434994,0.002934502,0.8333707,0.0009225456,0.0001306119,0.0002505409,0.001376097,0.002211356,0.0153042],"genre_scores_gemma":[0.7075651,0.00137069,0.2861389,0.00006023345,0.00006300942,0.0001945491,0.001157914,0.0001428882,0.003306608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004173884,"threshold_uncertainty_score":0.01396298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06905793914907432,"score_gpt":0.3039438931078072,"score_spread":0.2348859539587329,"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."}}