{"id":"W2386579087","doi":"","title":"Web User Clustering Based On Genetic Algorithm","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Cluster analysis; Adaptability; Data mining; Path (computing); Genetic algorithm; Similarity (geometry); Key (lock); Web application; Algorithm; Machine learning; Artificial intelligence; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001021951,0.0007792301,0.001152392,0.002254121,0.0009811532,0.001107211,0.001781956,0.0010887,0.001352784],"category_scores_gemma":[0.002674649,0.0003747878,0.0009997126,0.001997697,0.0007294557,0.001239433,0.0007121728,0.0007117846,0.0005470104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530736,"about_ca_system_score_gemma":0.001687928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0233078,"about_ca_topic_score_gemma":0.01134661,"domain_scores_codex":[0.9988888,0.0002644028,0.00004347579,0.0002480984,0.0004475129,0.000107799],"domain_scores_gemma":[0.9993279,0.0002068788,0.00005106135,0.000079319,0.0002970269,0.0000378629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001509175,0.0001541917,0.004067915,0.0001094231,0.0002112326,0.0001318571,0.0003391388,0.6723584,0.006039198,0.01765683,0.003614187,0.2951667],"study_design_scores_gemma":[0.00001709873,0.00002912752,0.0007267721,0.00000747367,0.00002162358,0.00005849936,0.00003008757,0.9924561,0.001578168,0.003919056,0.001137063,0.00001889828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02860926,0.0001811665,0.9661269,0.000135572,0.00004538516,0.0001350748,0.00006014685,0.001347324,0.003359311],"genre_scores_gemma":[0.4969023,0.0003384892,0.4954445,0.0001383304,0.00006592635,0.0003850732,0.0004112035,0.0002238369,0.006090269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0233078,"threshold_uncertainty_score":0.04634428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227950931892263,"score_gpt":0.2239413828964657,"score_spread":0.2116618735775431,"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."}}