{"id":"W2114716537","doi":"10.1109/cnsr.2005.15","title":"A Presentation Description Language for Adaptive Web Systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Web Applications and Data Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"Computer science; Presentation (obstetrics); Adaptation (eye); Syntax; Compiler; Flexibility (engineering); Programming language; Semantics (computer science); Web application; Web modeling; Software engineering; Web service; World Wide Web; Natural language processing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003435262,0.001337058,0.0009912839,0.002034187,0.001035499,0.004580162,0.002773297,0.002273118,0.01313853],"category_scores_gemma":[0.005320624,0.001232289,0.001983532,0.002001036,0.001394055,0.0067523,0.003019206,0.004901462,0.00626995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471225,"about_ca_system_score_gemma":0.003034352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00243717,"about_ca_topic_score_gemma":0.001919463,"domain_scores_codex":[0.9965234,0.0008277344,0.0008791083,0.000345568,0.001203464,0.0002206414],"domain_scores_gemma":[0.9970796,0.001139796,0.0002104375,0.000458246,0.0009024762,0.0002094453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001426286,0.000156741,0.0003768726,0.001566125,0.00008270999,0.00104967,0.00123024,0.01261882,0.02055308,0.6890141,0.07380891,0.1994],"study_design_scores_gemma":[0.0001283403,0.0001085697,0.0001262656,0.0003549081,0.00005767111,0.001726983,0.0001492955,0.05716722,0.01102186,0.1323282,0.7966786,0.0001520726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005826566,0.0004614962,0.9857599,0.0005030461,0.0002685659,0.0002494057,0.0008224028,0.006931974,0.0044206],"genre_scores_gemma":[0.02558382,0.001628084,0.9410241,0.001012916,0.0003392994,0.001190337,0.004935402,0.004086816,0.02019915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01313853,"threshold_uncertainty_score":0.04395276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310236590328091,"score_gpt":0.272403147064751,"score_spread":0.2413794880319419,"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."}}