{"id":"W3022461306","doi":"","title":"Proceedings of the 9th annual ACM international workshop on Web information and data management","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; China; Ninth; Computer science; Schedule; Metadata; Data management; World Wide Web; Database; 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":[0.007609714,0.001822833,0.002023853,0.002520122,0.001704359,0.008504143,0.002811797,0.002554712,0.04970225],"category_scores_gemma":[0.01128025,0.001002487,0.001312612,0.002399011,0.001576076,0.01162408,0.004436405,0.005482009,0.02726126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182148,"about_ca_system_score_gemma":0.002980752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003390249,"about_ca_topic_score_gemma":0.005418153,"domain_scores_codex":[0.9952873,0.001645492,0.0004510303,0.000589387,0.001626209,0.0004005862],"domain_scores_gemma":[0.9916927,0.002299738,0.0002686179,0.001696748,0.00237781,0.001664425],"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":[0.0002175812,0.0003927965,0.001167081,0.0004240912,0.00009463087,0.0003071693,0.0008830419,0.0003904678,0.003965644,0.008974459,0.7045313,0.2786517],"study_design_scores_gemma":[0.00002739414,0.00007652326,0.00120586,0.0003345665,0.00004417125,0.0003550873,0.0004571561,0.00256807,0.001214797,0.008556421,0.9851229,0.00003709603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02376874,0.100625,0.5008467,0.07256152,0.07925277,0.002478175,0.006827467,0.01464066,0.198999],"genre_scores_gemma":[0.05995985,0.06826276,0.2215181,0.01039783,0.01700582,0.001753442,0.03000042,0.005407281,0.5856945],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04970225,"threshold_uncertainty_score":0.1662706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192904873786598,"score_gpt":0.2811951955799225,"score_spread":0.2619047082012627,"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."}}