{"id":"W2116493296","doi":"10.1145/335191.335409","title":"XTRACT","year":2000,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; XML validation; Document Structure Description; Document type definition; RELAX NG; XML Schema Editor; Well-formed document; XML Schema (W3C); Streaming XML; XML; Information retrieval; Programming language; Simple API for XML; Efficient XML Interchange; XML 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":[0.003011334,0.001604923,0.001128786,0.002647802,0.001335056,0.005994667,0.004426261,0.002401274,0.09221158],"category_scores_gemma":[0.0151993,0.001108234,0.002146529,0.00318995,0.0009739241,0.006280416,0.003505659,0.00289128,0.08255686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152956,"about_ca_system_score_gemma":0.002537347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005217343,"about_ca_topic_score_gemma":0.00403341,"domain_scores_codex":[0.9964511,0.0005564816,0.0003374189,0.0007868955,0.001599442,0.0002685711],"domain_scores_gemma":[0.9952721,0.001332456,0.000336269,0.001680015,0.001141871,0.0002373951],"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":[0.0006169067,0.00009769524,0.001596433,0.0007872212,0.0001140198,0.0005178604,0.0002718069,0.006792795,0.004527397,0.05063822,0.6613179,0.2727217],"study_design_scores_gemma":[0.0001031552,0.00009399517,0.0006987663,0.0001451918,0.00004608314,0.000500553,0.00005982536,0.04813132,0.007669599,0.04086041,0.9016063,0.00008482553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003842016,0.001687434,0.4649233,0.002109818,0.001510993,0.0007643225,0.04742679,0.3905589,0.0871764],"genre_scores_gemma":[0.06455163,0.003288749,0.4550554,0.002851344,0.0009071946,0.001404024,0.2923391,0.06987658,0.1097261],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.09221158,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034075916582253,"score_gpt":0.2474894671120009,"score_spread":0.2371487079461783,"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."}}