{"id":"W2013230316","doi":"10.3166/isi.15.1.113-138","title":"Requêtes arbres régulières pour l'analyse de dépendances entre vues et mises à jour de documents XML","year":2010,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"XPath; Class (philosophy); XML; Computer science; Tree (set theory); Combinatorics; Database query; Time complexity; PSPACE; Independence (probability theory); Mathematics; Theoretical computer science; Discrete mathematics; Information retrieval; Computational complexity theory; Algorithm; Artificial intelligence; XML database; World Wide Web; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008274219,0.001089775,0.001104617,0.002590512,0.0008104159,0.003852751,0.001795961,0.001638588,0.002470377],"category_scores_gemma":[0.04169038,0.0009445767,0.001291985,0.002051973,0.001539694,0.005452266,0.001277558,0.00248602,0.0004356972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002013062,"about_ca_system_score_gemma":0.001332285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009932817,"about_ca_topic_score_gemma":0.008719821,"domain_scores_codex":[0.9898646,0.002582085,0.000485177,0.00189853,0.004623858,0.0005456399],"domain_scores_gemma":[0.9520669,0.03933757,0.002861205,0.002709466,0.002399146,0.0006256392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002160589,0.0006041791,0.04873505,0.0009356719,0.0003375303,0.000853979,0.001478334,0.5146687,0.05214408,0.05941667,0.003369921,0.3152953],"study_design_scores_gemma":[0.000056764,0.0002720811,0.007890129,0.0000355998,0.00009115713,0.0004057667,0.0003380846,0.9506909,0.01817683,0.01905064,0.002945594,0.00004656552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3408099,0.001454748,0.6505545,0.0007426153,0.00006096607,0.0001912067,0.001051298,0.002351564,0.002783083],"genre_scores_gemma":[0.7875285,0.0006015136,0.2059808,0.0001175858,0.0001151985,0.000188564,0.001873711,0.0005545802,0.00303957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009932817,"threshold_uncertainty_score":0.04375875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622366735193683,"score_gpt":0.2679519267846842,"score_spread":0.2517282594327474,"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."}}