{"id":"W2418003691","doi":"10.4242/balisagevol7.david01","title":"Challenges and Potential of Local Loading of XML Ebooks","year":2011,"lang":"en","type":"article","venue":"Balisage series on markup technologies","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Council of University Libraries; University of Toronto","funders":"","keywords":"Computer science; XML; World Wide Web; XML validation; Efficient XML Interchange; XSLT; XML Schema Editor; Presentation (obstetrics); XML framework; Upload; Streaming XML; Simple API for XML; Multimedia; XML Signature","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":[0.01792666,0.0009212379,0.000887128,0.002432378,0.004425454,0.01150361,0.00437288,0.002844443,0.02528346],"category_scores_gemma":[0.05784677,0.00101699,0.0007959821,0.003636591,0.00401076,0.01976139,0.009739494,0.003205665,0.01186502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853612,"about_ca_system_score_gemma":0.0021158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525793,"about_ca_topic_score_gemma":0.00336812,"domain_scores_codex":[0.9852269,0.007850321,0.0008742958,0.001108491,0.004047664,0.0008923521],"domain_scores_gemma":[0.9486367,0.02604695,0.00204684,0.0122273,0.009205551,0.00183666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005233614,0.0004654131,0.007956458,0.001749446,0.00006907398,0.004407416,0.121542,0.002720029,0.01994047,0.02811461,0.07750265,0.7350091],"study_design_scores_gemma":[0.0001338443,0.0007885174,0.00848367,0.001753025,0.0001466853,0.007699683,0.108609,0.01080961,0.03266029,0.03260316,0.7958605,0.0004520782],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3293722,0.004636565,0.398242,0.03224203,0.001548142,0.0009368786,0.0005634622,0.01961485,0.2128439],"genre_scores_gemma":[0.5990857,0.003940504,0.2327371,0.005324706,0.001581741,0.0006579236,0.001162131,0.01661272,0.1388974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02528346,"threshold_uncertainty_score":0.09480637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435968104011919,"score_gpt":0.2201860752256313,"score_spread":0.1858263941855121,"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."}}