{"id":"W2048976003","doi":"10.1145/1540276.1540299","title":"WebKDD 2008","year":2008,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Knowledge extraction; Las vegas; Conjunction (astronomy); Data science; Library science; World Wide Web; Data mining; History; Archaeology; Tourism","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009461475,0.002605064,0.00433431,0.01091421,0.002458075,0.01193603,0.006865692,0.004240846,0.0514448],"category_scores_gemma":[0.03179611,0.002801312,0.004313322,0.007380276,0.0008714417,0.006915428,0.005391442,0.006646803,0.1180333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00265016,"about_ca_system_score_gemma":0.008745913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206965,"about_ca_topic_score_gemma":0.01672895,"domain_scores_codex":[0.9903261,0.001672439,0.001059519,0.001378845,0.005096935,0.0004660473],"domain_scores_gemma":[0.9889035,0.002732135,0.0005253476,0.003478671,0.003530724,0.0008296949],"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":[0.00005105793,0.00003984022,0.0004196902,0.0003814396,0.0001114248,0.00003832971,0.00002461632,0.001100564,0.00008340739,0.003579611,0.9624169,0.0317531],"study_design_scores_gemma":[0.0001240936,0.00001550044,0.0004522918,0.000182699,0.00005613153,0.0002067209,0.00002404669,0.00771473,0.0007527834,0.01942636,0.9709877,0.00005700118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002065438,0.01455987,0.1098321,0.01667681,0.005772306,0.0008737277,0.6128939,0.1760378,0.06128797],"genre_scores_gemma":[0.006576434,0.008628371,0.0863389,0.00368892,0.0006053533,0.001292923,0.8587785,0.008541122,0.02554945],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9485552,"threshold_uncertainty_score":0.1721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05751956576975635,"score_gpt":0.2554444167508769,"score_spread":0.1979248509811206,"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."}}