{"id":"W22428428","doi":"10.5406/amerjpsyc.125.1.0081","title":"ToXgene: An extensible template-based data generator for XML.","year":2002,"lang":"en","type":"article","venue":"International Workshop on the Web and Databases","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; XML; XML Schema (W3C); Programming language; Document Structure Description; XML framework; XML validation; Streaming XML; Template; Efficient XML Interchange; XML database; Simple API for XML; XML Schema Editor; Generator (circuit theory); Information retrieval; Database; XML Signature; World Wide Web","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":[0.006962028,0.002221392,0.001049861,0.002557219,0.000747564,0.003859675,0.00489451,0.002906439,0.04542558],"category_scores_gemma":[0.0155001,0.001940561,0.002184336,0.002073972,0.001223336,0.005450259,0.004520502,0.002343507,0.02531747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097349,"about_ca_system_score_gemma":0.001605539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734755,"about_ca_topic_score_gemma":0.001413808,"domain_scores_codex":[0.9975601,0.0005124312,0.0005110725,0.0004477247,0.0008044179,0.0001642341],"domain_scores_gemma":[0.994217,0.003233286,0.000469509,0.001254496,0.0005764277,0.0002492417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002859523,0.0004192192,0.006377651,0.004102969,0.000405935,0.003354673,0.001971868,0.01315957,0.03310063,0.07217791,0.4390945,0.4229756],"study_design_scores_gemma":[0.0008742199,0.0006145666,0.003172823,0.001135063,0.0001692667,0.003656376,0.0004870312,0.09949452,0.06311972,0.09333717,0.7334827,0.0004564543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002451745,0.0004497876,0.5971851,0.0004523083,0.0003115053,0.0007441584,0.02596368,0.3664173,0.006024287],"genre_scores_gemma":[0.06097235,0.001563964,0.6452275,0.002058574,0.0002080179,0.003358642,0.1287585,0.1292176,0.02863492],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04542558,"threshold_uncertainty_score":0.1519638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.161317082990494,"score_gpt":0.3313494144327971,"score_spread":0.170032331442303,"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."}}