{"id":"W2353668318","doi":"","title":"Email Classification Based on the Glue of Content","year":2008,"lang":"en","type":"article","venue":"Jisuanji fangzhen","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"GLUE; Measure (data warehouse); Vector space model; Computer science; Artificial intelligence; Content (measure theory); Data mining; Mathematics; Engineering","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":[0.00009378056,0.00006277349,0.00008325513,0.00006168684,0.00004976123,0.000003129802,0.0001879439,0.00005785566,0.00004271893],"category_scores_gemma":[0.00005480161,0.00004336111,0.00003466223,0.0001547059,0.00009705826,0.00002466481,0.0000110221,0.00008465707,0.00006513716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002014025,"about_ca_system_score_gemma":0.00001315354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000304116,"about_ca_topic_score_gemma":0.000009229148,"domain_scores_codex":[0.9995542,0.000009665698,0.0001142021,0.00008538406,0.0001131329,0.0001234342],"domain_scores_gemma":[0.999602,0.00005485378,0.00002609098,0.0002739435,0.00002489187,0.00001818742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008921184,0.0006126041,0.122067,0.0001605299,0.0001509924,0.00005601736,0.004292941,0.01489214,0.5844939,0.09468132,0.1192043,0.05929898],"study_design_scores_gemma":[0.0008845533,0.0004103653,0.4471487,0.00007961083,0.00003038623,0.00002021316,0.001469949,0.3750875,0.1411337,0.0007620713,0.03251749,0.0004553969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914762,0.00003292876,0.00236899,0.0008816699,0.0001229183,0.0001022587,0.000003461897,0.0001870764,0.004824437],"genre_scores_gemma":[0.999279,0.00001142437,0.0003588225,0.0001663513,0.00001434133,0.00001977058,0.000002620782,0.000008047189,0.0001396697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4433602,"threshold_uncertainty_score":0.1768215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166583707788743,"score_gpt":0.224267945265866,"score_spread":0.1076095744869917,"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."}}