{"id":"W2085995514","doi":"10.1145/772862.772888","title":"WEBKDD 2002","year":2002,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Conjunction (astronomy); Theme (computing); Knowledge extraction; Data science; Web mining; Data mining; Information retrieval; World Wide Web; Web service","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009158089,0.002114617,0.00431655,0.008350158,0.002323132,0.01012818,0.005940833,0.003657967,0.02785235],"category_scores_gemma":[0.03009435,0.00271893,0.003165991,0.007292266,0.0007663778,0.005103022,0.003918403,0.005329791,0.05528815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002155068,"about_ca_system_score_gemma":0.008490472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189358,"about_ca_topic_score_gemma":0.01614295,"domain_scores_codex":[0.9908513,0.001707069,0.001269858,0.001132372,0.004686547,0.0003527501],"domain_scores_gemma":[0.9868537,0.003757763,0.0005820954,0.003962881,0.00382758,0.001015962],"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":[0.0001203183,0.00007616068,0.0006886384,0.0007788946,0.0001958773,0.00009822108,0.00003449061,0.002502848,0.0001749274,0.004592247,0.9365782,0.05415916],"study_design_scores_gemma":[0.0002411882,0.00002360891,0.0007189346,0.000184618,0.00008690448,0.0003671507,0.00002975757,0.01470752,0.001595574,0.01860962,0.9633626,0.00007251176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003637423,0.0158106,0.1920556,0.02092851,0.008032216,0.001163515,0.5552667,0.1601573,0.04294815],"genre_scores_gemma":[0.01225516,0.00993473,0.1293986,0.004701413,0.0007423991,0.001813486,0.8075586,0.007987105,0.02560854],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9721476,"threshold_uncertainty_score":0.09317541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06108137065648202,"score_gpt":0.2461904553370433,"score_spread":0.1851090846805613,"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."}}