{"id":"W2064984536","doi":"10.1109/ccece.2007.320","title":"A Web Knowledge Discovery Engine Based on Concept Algebra","year":2007,"lang":"en","type":"article","venue":"","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Knowledge extraction; World Wide Web; Information retrieval; Data science; Data mining","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":[0.002014504,0.0005807547,0.0008653071,0.003870202,0.0009682526,0.002822285,0.001574587,0.0006845274,0.006090169],"category_scores_gemma":[0.004058688,0.0005821557,0.001140135,0.002535754,0.0006246986,0.005708689,0.001439384,0.001267548,0.003472238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007753489,"about_ca_system_score_gemma":0.001842345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004748676,"about_ca_topic_score_gemma":0.006002881,"domain_scores_codex":[0.9990239,0.0001313377,0.000124162,0.0001896859,0.0004913827,0.00003944313],"domain_scores_gemma":[0.9984756,0.0007256073,0.0001125617,0.0002161391,0.0003607752,0.0001092398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005058505,0.0005174556,0.002883211,0.001082751,0.0002885849,0.00119297,0.001009063,0.01601145,0.03006685,0.2880598,0.04381575,0.6145663],"study_design_scores_gemma":[0.0002473751,0.0002089518,0.00163099,0.0002392764,0.0002535178,0.001940362,0.0002785547,0.4614056,0.04318093,0.2131938,0.2772209,0.000199755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004778122,0.0002712739,0.9514787,0.0002577407,0.0000502263,0.0002875779,0.00139558,0.03491268,0.006568148],"genre_scores_gemma":[0.04354952,0.0006134076,0.9422877,0.0002599299,0.00004001683,0.0003472835,0.005584754,0.001275278,0.006042154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006090169,"threshold_uncertainty_score":0.02037364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166733997340617,"score_gpt":0.2500887427462808,"score_spread":0.2384214027728747,"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."}}