{"id":"W2495393266","doi":"","title":"Database and XML Technologies: Second International XML Database Symposium, XSym 2004, Toronto, Canada, August 29-30, 2004, Proceedings (Lecture Notes in Computer Science)","year":2004,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"XML database; Database; XML; Computer science; Efficient XML Interchange; Library science; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.002849545,0.00181126,0.002158686,0.002335678,0.002063946,0.007692006,0.002710811,0.001687014,0.03794996],"category_scores_gemma":[0.002818072,0.001775515,0.0008686698,0.006510398,0.001458675,0.005654624,0.001630517,0.003153972,0.01604442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00584098,"about_ca_system_score_gemma":0.01270521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2235059,"about_ca_topic_score_gemma":0.2920092,"domain_scores_codex":[0.9987442,0.0001038448,0.00009268542,0.0001974216,0.0007218152,0.000139985],"domain_scores_gemma":[0.9976575,0.000317397,0.00005702425,0.0002783187,0.001340691,0.0003490159],"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":[0.0001135999,0.00007636516,0.0006728224,0.0003951315,0.00003395366,0.0001443235,0.0002787068,0.0005657261,0.00350115,0.009807286,0.8173761,0.1670349],"study_design_scores_gemma":[0.00007712623,0.00007108501,0.003950326,0.0003507778,0.0001090022,0.0006356116,0.0004477536,0.006403643,0.005620658,0.007654333,0.974625,0.00005470915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02112467,0.2407271,0.3793848,0.0348489,0.02774767,0.00117998,0.02444526,0.02998117,0.2405604],"genre_scores_gemma":[0.02068683,0.1071647,0.1203499,0.002190504,0.002272654,0.0002740563,0.03229271,0.002910771,0.7118579],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2235059,"threshold_uncertainty_score":0.4444099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009255483999508495,"score_gpt":0.2409075539292895,"score_spread":0.231652069929781,"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."}}