{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070781,0.0001544182,0.0001470005,0.0001919892,0.0003225822,0.0001119506,0.001068406,0.00004795938,0.00001323853],"category_scores_gemma":[3.688274e-7,0.0001533171,0.00009392771,0.0005871061,0.00004243999,0.0001277197,0.000234114,0.0001144522,0.0004602581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003390039,"about_ca_system_score_gemma":0.0000727975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001313135,"about_ca_topic_score_gemma":0.00000346004,"domain_scores_codex":[0.9987887,0.00003203706,0.0002183873,0.0005353911,0.0001771674,0.0002483495],"domain_scores_gemma":[0.9988291,0.00006039528,0.0000641423,0.0008860737,0.00005589406,0.0001043702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001327236,0.0003273944,0.0007079539,0.00001309506,0.00003986893,0.00002858422,0.0002098428,0.01592564,0.002024728,0.0005377814,0.01790681,0.962277],"study_design_scores_gemma":[0.0002058778,0.00001868239,0.001798205,0.000007334635,0.000005979971,0.00003102383,0.0000013768,0.6856026,0.0003898033,0.00003197313,0.3117487,0.0001583847],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007777262,0.00003260783,0.9976314,0.000534065,0.00001998638,0.0001829151,0.00001671587,0.0002725809,0.0005320256],"genre_scores_gemma":[0.02734916,0.00001112088,0.9705924,0.00136096,0.0001703837,0.0001664763,0.00002919159,0.00001388615,0.0003063604],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9621186,"threshold_uncertainty_score":0.625209,"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."}}