{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004235342,0.0001350259,0.0001211922,0.0001150044,0.00008648641,0.0001217126,0.0004281976,0.00004914663,0.0000336654],"category_scores_gemma":[0.00004512015,0.0001117931,0.00007499086,0.0004458285,0.00003725783,0.0001598995,0.0001466553,0.0001575163,0.0001318963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003268479,"about_ca_system_score_gemma":0.00007363581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003144798,"about_ca_topic_score_gemma":0.00001318544,"domain_scores_codex":[0.9989576,0.00004020838,0.0001556936,0.0003492523,0.0001552197,0.0003420009],"domain_scores_gemma":[0.9987472,0.0006959506,0.00003283406,0.0003492651,0.00007224137,0.0001025656],"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":[0.00003001777,0.0003942849,0.0004838532,0.000008500007,0.00001788395,0.00006480483,0.0003492894,0.001406491,0.0002141607,0.0767267,0.02035639,0.8999476],"study_design_scores_gemma":[0.0007664686,0.0002114685,0.003212169,0.00007184182,0.000003621728,0.000004299285,0.00001176156,0.976981,0.004785764,0.0004267321,0.01324911,0.0002756933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009891256,0.0001282776,0.9144387,0.0002929081,0.0006011498,0.00007803309,8.280081e-7,0.0003224165,0.07424647],"genre_scores_gemma":[0.9884914,0.00000191497,0.007764858,0.001381974,0.0002794125,0.000001754503,0.000002589446,0.000007949891,0.00206815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9786001,"threshold_uncertainty_score":0.4558792,"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."}}