{"id":"W2155709205","doi":"10.1145/846183.846209","title":"WEBKDD'99","year":2000,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; DePaul University","keywords":"Computer science; Profiling (computer programming); Knowledge extraction; Data science; World Wide Web; Information retrieval; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001513042,0.000143201,0.0001139515,0.00008192117,0.0003013666,0.0003589886,0.001598908,0.00005100293,0.0007927378],"category_scores_gemma":[0.00005009361,0.0001365763,0.00005650573,0.0005589038,0.00004791706,0.001465265,0.0001981412,0.0001385421,0.006251722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002216752,"about_ca_system_score_gemma":0.00003870443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000023702,"about_ca_topic_score_gemma":0.000008108878,"domain_scores_codex":[0.9987972,0.00005004189,0.0002417119,0.0004297064,0.0002060006,0.0002753455],"domain_scores_gemma":[0.9978099,0.0001212065,0.00004068217,0.001882193,0.00004697452,0.00009907814],"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":[0.000002132382,0.0001140386,0.00006102648,0.000002484849,0.00001750858,0.0000101396,0.0009587732,0.000135929,0.001239397,0.01790708,0.5515742,0.4279773],"study_design_scores_gemma":[0.0002414497,0.00003562868,0.0006781511,0.000008945807,0.000008039963,0.00001690621,0.00002965789,0.01368712,0.001233662,0.006872381,0.9768925,0.0002955806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02067245,0.00009545448,0.8225923,0.1385896,0.0003401046,0.000386307,0.00003834398,0.0009320123,0.01635345],"genre_scores_gemma":[0.08157098,0.0001234543,0.8721437,0.03206619,0.0009617493,0.0006888611,0.0002196891,0.00004927284,0.01217605],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4276817,"threshold_uncertainty_score":0.994522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750424736256481,"score_gpt":0.2548875557424921,"score_spread":0.2273833083799272,"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."}}