{"id":"W1540779876","doi":"10.1007/978-3-540-30480-7_16","title":"Wrapping HTML Tables into XML","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; XML; Programming language; Information retrieval; 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":[0.001470032,0.001198597,0.0007717432,0.002175536,0.0005999663,0.003391295,0.001680134,0.001076545,0.01582085],"category_scores_gemma":[0.005483917,0.001687113,0.001520984,0.003175812,0.000573163,0.004373256,0.0029903,0.00158477,0.01355657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004825242,"about_ca_system_score_gemma":0.0005376388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446165,"about_ca_topic_score_gemma":0.001417548,"domain_scores_codex":[0.9990774,0.0001606865,0.0001361278,0.0001658755,0.0003856669,0.00007416868],"domain_scores_gemma":[0.9974877,0.0009070135,0.00008741576,0.001102722,0.0003443825,0.00007081412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002271867,0.0002561044,0.001619855,0.0008705835,0.0001549276,0.001260786,0.001458508,0.008098916,0.02696514,0.05608794,0.1303493,0.7726508],"study_design_scores_gemma":[0.0001040743,0.000104041,0.001579789,0.000701164,0.0002653075,0.001578281,0.0004527243,0.08640899,0.145808,0.104953,0.6578826,0.000161999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006376993,0.0003759635,0.9073486,0.0003613162,0.0003844523,0.0001830281,0.002361392,0.06876149,0.01384671],"genre_scores_gemma":[0.0867254,0.001968099,0.7830122,0.001055194,0.0001981227,0.0004181518,0.02619819,0.03142183,0.06900286],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01582085,"threshold_uncertainty_score":0.05292606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515788186687181,"score_gpt":0.2384742168423802,"score_spread":0.2233163349755084,"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."}}