{"id":"W1592417446","doi":"10.1016/j.inffus.2008.05.001","title":"Web information fusion","year":2008,"lang":"en","type":"article","venue":"Information Fusion","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Rough set; Computer science; Data mining; Set (abstract data type); Granular computing; Artificial intelligence","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":[0.002537629,0.0009884288,0.001350952,0.008344471,0.00107033,0.004862299,0.001113097,0.001781765,0.01676764],"category_scores_gemma":[0.006613913,0.0004963718,0.001434908,0.007883167,0.0006886461,0.006328922,0.002601122,0.00128588,0.01232017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041341,"about_ca_system_score_gemma":0.001118112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002539105,"about_ca_topic_score_gemma":0.001781248,"domain_scores_codex":[0.9963682,0.0006643619,0.0002032742,0.0004918084,0.002064015,0.0002084556],"domain_scores_gemma":[0.9966533,0.0005621976,0.0001279362,0.001292277,0.001253864,0.0001104767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003609006,0.0002835622,0.001990165,0.0004788045,0.0003329922,0.0003735554,0.0001878822,0.01228513,0.01622989,0.05384012,0.05909203,0.8545451],"study_design_scores_gemma":[0.00006824113,0.0002148237,0.006697202,0.0003636118,0.0005715166,0.001500148,0.0005013088,0.3827119,0.08044036,0.2328824,0.2938242,0.0002241778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02405279,0.007489983,0.827087,0.002312681,0.001922472,0.0007297481,0.006729551,0.01178378,0.117892],"genre_scores_gemma":[0.4894356,0.009445222,0.4086804,0.001907225,0.001552136,0.0005122654,0.02082515,0.001339181,0.06630273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01676764,"threshold_uncertainty_score":0.05609339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238786963079748,"score_gpt":0.2439781925541189,"score_spread":0.2315903229233214,"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."}}