{"id":"W2390183027","doi":"","title":"A DOM-based Web Information Extraction","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"XPath; Computer science; Document Object Model; XSLT; Relationship extraction; Path (computing); Information extraction; Data extraction; Relation (database); Information retrieval; Data mining; XML; Extraction (chemistry); World Wide Web; XML database","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":[0.001275281,0.000940101,0.001145102,0.005052214,0.001454517,0.002463917,0.001277772,0.001504067,0.003281634],"category_scores_gemma":[0.003880184,0.0007370109,0.001642093,0.003054523,0.0004364113,0.003662977,0.002348716,0.0009366852,0.004962125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003586106,"about_ca_system_score_gemma":0.001340165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001864612,"about_ca_topic_score_gemma":0.002264351,"domain_scores_codex":[0.9977797,0.0004637104,0.0003356908,0.0004607762,0.0008558892,0.0001043146],"domain_scores_gemma":[0.997895,0.0004619379,0.00010982,0.0005102197,0.0009321165,0.00009088882],"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":[0.0002876025,0.0003525003,0.003251425,0.0007498813,0.0001554015,0.0008552441,0.0004912186,0.006020135,0.08134212,0.01802296,0.02622806,0.8622435],"study_design_scores_gemma":[0.0001515836,0.0002062692,0.005454873,0.0004751812,0.0002975228,0.004050064,0.000549709,0.5377435,0.2139193,0.02915081,0.2076999,0.0003013024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002940091,0.000263621,0.987758,0.0002115496,0.00005504798,0.0001731755,0.0004593735,0.006196577,0.001942541],"genre_scores_gemma":[0.02182413,0.0002569655,0.9711453,0.000185654,0.00003370178,0.0001240863,0.002023053,0.0003659051,0.004041207],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005052214,"threshold_uncertainty_score":0.0109781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006524121685157637,"score_gpt":0.280486153589012,"score_spread":0.2739620319038544,"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."}}