{"id":"W4232386687","doi":"10.1007/978-0-387-39940-9_3972","title":"Visual Web Information Extraction","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Information extraction; Computer science; Extraction (chemistry); World Wide Web; Information retrieval; Chemistry; Chromatography","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":[0.0004145453,0.001255541,0.0006232309,0.006536719,0.000609302,0.002939655,0.001116686,0.0006167464,0.09511406],"category_scores_gemma":[0.001466403,0.0006443691,0.000826603,0.004550315,0.0002735915,0.002466768,0.001471279,0.0007855488,0.05941355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005122882,"about_ca_system_score_gemma":0.0006936385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003853822,"about_ca_topic_score_gemma":0.007000961,"domain_scores_codex":[0.99972,0.00002317542,0.00002304715,0.00007044327,0.0001375633,0.00002579076],"domain_scores_gemma":[0.9995316,0.0001259433,0.00002347201,0.0001036424,0.0001840537,0.00003126474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007235181,0.0000492391,0.0003706821,0.0005863266,0.00003397331,0.0001748028,0.0001026399,0.0005343865,0.009329395,0.00698495,0.2613811,0.7203801],"study_design_scores_gemma":[0.0000292413,0.00003132028,0.002023618,0.000340357,0.00006057264,0.0008966619,0.0001565296,0.01261728,0.02945517,0.0183291,0.9360111,0.00004903353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006007168,0.005899646,0.5701346,0.001275507,0.0007426505,0.0009690332,0.0386825,0.1361704,0.2401184],"genre_scores_gemma":[0.04579778,0.007832138,0.4718187,0.001133576,0.0003716822,0.0005845173,0.08882914,0.01551573,0.3681166],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09511406,"threshold_uncertainty_score":0.3181882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116611132904541,"score_gpt":0.24656012360515,"score_spread":0.2353940122761046,"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."}}