{"id":"W2110788923","doi":"10.1145/1117454.1117475","title":"WebKDD 2005","year":2005,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Theme (computing); Conjunction (astronomy); Web mining; World Wide Web; Data science; Knowledge extraction; Data mining; 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":[],"consensus_categories":[],"category_scores_codex":[0.01473106,0.002775596,0.005192119,0.01057587,0.003311045,0.01200205,0.007702077,0.004525787,0.02967346],"category_scores_gemma":[0.04387472,0.002849277,0.004745157,0.007557062,0.0009537194,0.005477368,0.004991178,0.005654415,0.05764106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003261767,"about_ca_system_score_gemma":0.01184397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172909,"about_ca_topic_score_gemma":0.02996112,"domain_scores_codex":[0.9877388,0.00268544,0.001719936,0.001834497,0.00546423,0.000557113],"domain_scores_gemma":[0.9831117,0.004926772,0.0007002512,0.005750616,0.004451186,0.001059479],"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":[0.0001439183,0.00009195577,0.00141141,0.001004928,0.0004224712,0.0001070821,0.00005353027,0.003692633,0.0001551154,0.005339997,0.9305846,0.05699222],"study_design_scores_gemma":[0.0003315652,0.00004225452,0.001046788,0.0002981366,0.0001811699,0.0003966957,0.00006077576,0.02198163,0.001606897,0.02428911,0.949665,0.00009994803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00413389,0.01712402,0.1136337,0.01546675,0.006916166,0.001372855,0.6918054,0.1171061,0.03244108],"genre_scores_gemma":[0.01168171,0.007800427,0.1037497,0.003622262,0.0005778375,0.001811538,0.8527166,0.003620089,0.01441974],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02967346,"threshold_uncertainty_score":0.0992676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03629811663647502,"score_gpt":0.2671368829012802,"score_spread":0.2308387662648052,"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."}}