{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009379341,0.000660817,0.0005320272,0.003766407,0.001247628,0.00768484,0.001064745,0.002159179,0.2777968],"category_scores_gemma":[0.004915753,0.0003614046,0.0004200285,0.008847116,0.001020869,0.004199878,0.002800068,0.001762019,0.2229772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459309,"about_ca_system_score_gemma":0.001210372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00550999,"about_ca_topic_score_gemma":0.008473765,"domain_scores_codex":[0.9988213,0.0001721856,0.0001158116,0.0001320649,0.000674532,0.0000839758],"domain_scores_gemma":[0.9969593,0.0005678574,0.0002166989,0.0008284657,0.001114791,0.0003129143],"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":[0.00001479003,0.00002037743,0.0001688629,0.0002844168,0.000005989347,0.0001604947,0.00007388057,0.000175903,0.000709133,0.03862085,0.7605335,0.1992317],"study_design_scores_gemma":[0.000002292953,0.000003676711,0.0002390689,0.0001141345,0.000002250591,0.000172433,0.00001949599,0.0002893545,0.0003887765,0.004687231,0.9940752,0.000006099601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006899269,0.001591652,0.01397421,0.004546137,0.003536298,0.000156879,0.004653268,0.004150438,0.9667012],"genre_scores_gemma":[0.0128867,0.004241021,0.01325128,0.00305406,0.002803411,0.0002019711,0.008854259,0.002546473,0.9521609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2777968,"threshold_uncertainty_score":0.9293229,"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."}}