{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01242737,0.002564441,0.004983031,0.01268518,0.003636714,0.01476485,0.007351781,0.004203286,0.0344637],"category_scores_gemma":[0.03654352,0.002892656,0.004261038,0.00886555,0.00119494,0.006689289,0.007341637,0.006464954,0.07641745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00230556,"about_ca_system_score_gemma":0.008189315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01263386,"about_ca_topic_score_gemma":0.01669731,"domain_scores_codex":[0.9862482,0.002469296,0.001514615,0.001763685,0.007462013,0.0005420889],"domain_scores_gemma":[0.9826435,0.004912077,0.0005288849,0.006073744,0.004557343,0.001284409],"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":[0.000105752,0.00009964802,0.0006273994,0.0005657977,0.000191962,0.00009563291,0.00005632605,0.002290422,0.0001741904,0.006618697,0.9157326,0.07344157],"study_design_scores_gemma":[0.0002251111,0.00002655597,0.0007179374,0.0001788008,0.0000748536,0.0002712271,0.00005099546,0.01895625,0.001605171,0.03288684,0.9449236,0.00008252347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003584557,0.01619981,0.2606511,0.01805268,0.01018537,0.001577161,0.3695178,0.2479245,0.07230699],"genre_scores_gemma":[0.01615906,0.01170835,0.1969053,0.004780677,0.0009781393,0.002696942,0.7118547,0.01478229,0.04013462],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0344637,"threshold_uncertainty_score":0,"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."}}