{"id":"W2763767559","doi":"10.1002/9780470050118.ecse465","title":"Web Intelligence (<scp>WI</scp>)","year":2008,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Computer Science and Engineering","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Web intelligence; World Wide Web; Computer science; Web application; Collective intelligence; Web development; Data science; The Internet","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004437789,0.0003784171,0.0005118437,0.001123408,0.0001048928,0.000174104,0.002397699,0.000152148,0.000007164282],"category_scores_gemma":[0.0001466216,0.0003602761,0.00008904758,0.001785548,0.0003254662,0.0005477328,0.0009553095,0.0002569898,0.00003894329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003315919,"about_ca_system_score_gemma":0.000342681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005345981,"about_ca_topic_score_gemma":0.000004406616,"domain_scores_codex":[0.9973523,0.00001647914,0.0003761624,0.000869639,0.0008204735,0.0005649502],"domain_scores_gemma":[0.9982935,0.0001438825,0.0002107527,0.0009638114,0.0001173587,0.0002706595],"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":[5.183858e-7,0.0001177027,0.0004749878,0.0003935124,0.0001497617,0.0001356402,0.002135398,0.00426175,0.000365253,0.006030107,0.6138349,0.3721005],"study_design_scores_gemma":[0.00007599758,0.00006083917,0.000152285,0.0004594984,0.00001698101,0.00005201796,0.00000906717,0.3601092,0.0001455087,0.00002831389,0.6386439,0.0002464355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005528778,0.002782899,0.9095193,0.00004230965,0.001587772,0.0001434567,0.00002223524,0.0005695124,0.08477966],"genre_scores_gemma":[0.008878307,0.04966504,0.8813756,0.0003039162,0.002413153,0.00004251758,0.00002867819,0.0004266299,0.0568662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.371854,"threshold_uncertainty_score":0.9998849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007405429330755762,"score_gpt":0.2005806570508388,"score_spread":0.1931752277200831,"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."}}