{"id":"W2911944568","doi":"","title":"Proceedings of the eleventh international workshop on Web information and data management","year":2009,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eleventh; Computer science; Schedule; China; Library science; Online database; World Wide Web; Operations research; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01189457,0.00193592,0.002221908,0.00334441,0.001770149,0.01045915,0.003394357,0.0031218,0.04859341],"category_scores_gemma":[0.01498478,0.001039874,0.001801398,0.00318255,0.001857485,0.01215998,0.005599239,0.006620525,0.02889061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529573,"about_ca_system_score_gemma":0.003748459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002472037,"about_ca_topic_score_gemma":0.003471446,"domain_scores_codex":[0.9918292,0.002796696,0.0009891203,0.001008002,0.002749494,0.0006274491],"domain_scores_gemma":[0.9862894,0.003906529,0.0004955438,0.002459073,0.00419835,0.002651054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002248028,0.000378021,0.0009511916,0.000615816,0.0001210164,0.0003471849,0.0008930562,0.0005996044,0.003692612,0.01186679,0.6662908,0.3140189],"study_design_scores_gemma":[0.00002271753,0.00007953545,0.0008439418,0.0003664574,0.00003919416,0.0003318908,0.0003565295,0.002075589,0.001202834,0.009356875,0.9852868,0.00003771653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01376815,0.09519248,0.5620416,0.07365408,0.09033801,0.002081879,0.005388157,0.01162325,0.1459123],"genre_scores_gemma":[0.05098817,0.07981811,0.2809499,0.01303522,0.02331301,0.001913053,0.03028023,0.005647224,0.5140551],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04859341,"threshold_uncertainty_score":0.1625611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911329994995513,"score_gpt":0.2595063944747928,"score_spread":0.2403930945248376,"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."}}