{"id":"W2099552474","doi":"10.1109/icde.2007.367909","title":"XPlainer: Visual Explanations of XPath Queries","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"XPath; Computer science; Programming language; XML; Information retrieval; XSLT; XML database; Streaming XML; XML Schema (W3C); Path expression; Database; World Wide Web; XML Encryption","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":[0.001689467,0.001576948,0.0004711719,0.001437688,0.0003691303,0.002285699,0.001969224,0.001733683,0.02792603],"category_scores_gemma":[0.008281598,0.0006575794,0.000755673,0.0008246986,0.0005795623,0.003584146,0.002092017,0.001853972,0.004700736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005465833,"about_ca_system_score_gemma":0.0006958903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894534,"about_ca_topic_score_gemma":0.002206749,"domain_scores_codex":[0.9990701,0.0003316184,0.00008462105,0.0001353819,0.0003179874,0.00006026062],"domain_scores_gemma":[0.9959599,0.00293016,0.0002072167,0.0003649569,0.000436085,0.0001017385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001144566,0.0002991899,0.002908894,0.002122253,0.00009003641,0.002804976,0.007161302,0.02411964,0.03324804,0.1167988,0.2371493,0.572153],"study_design_scores_gemma":[0.0003943424,0.0001899566,0.001986835,0.0006329137,0.0000673915,0.001806049,0.001209338,0.2327219,0.04390249,0.1027248,0.6141781,0.0001859997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005034922,0.0002357025,0.9162999,0.0007483205,0.00007643277,0.0001839299,0.002412536,0.06797591,0.007032385],"genre_scores_gemma":[0.1121486,0.001096373,0.8462056,0.0008034226,0.000104062,0.0005920023,0.008269067,0.01252215,0.01825874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02792603,"threshold_uncertainty_score":0.09342188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007938188705698868,"score_gpt":0.2733380035259547,"score_spread":0.2653998148202559,"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."}}