{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001228167,0.0001158391,0.00008925363,0.0002450312,0.0004426194,0.0001048,0.0004439768,0.00007099855,0.00003270943],"category_scores_gemma":[0.00003304077,0.0001086258,0.00005049831,0.0005546811,0.00002896657,0.007664831,0.0002275402,0.0001123113,0.0009809255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006243649,"about_ca_system_score_gemma":0.00009766198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009543704,"about_ca_topic_score_gemma":4.785143e-7,"domain_scores_codex":[0.9988836,0.00001442101,0.0004405164,0.00009469282,0.0004033186,0.0001634244],"domain_scores_gemma":[0.9990151,0.00003471198,0.0002345759,0.0003495798,0.0002892805,0.00007677529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001526049,0.0000586942,0.000162604,0.00002862815,0.000005654441,0.000001724928,0.003025902,0.004993248,0.0009229978,0.4037089,0.03428557,0.5527908],"study_design_scores_gemma":[0.0003720426,0.00005142107,0.002680345,0.00001518598,0.000001368332,0.00007671623,0.00003041857,0.2920964,0.00111681,0.007316721,0.6960353,0.0002072847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0110811,0.000007283324,0.9685519,0.001333754,0.0001636655,0.0002857545,0.000007953003,0.0006653974,0.01790314],"genre_scores_gemma":[0.8024049,0.000165559,0.1937706,0.003164817,0.00005990483,0.00009760915,0.0002199853,0.000004591095,0.0001121],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7913238,"threshold_uncertainty_score":0.9997969,"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."}}