{"id":"W2320187719","doi":"10.1515/jisys.2004.13.4.329","title":"Evolutionary, Neural, and Statistical Approaches to Interval Clustering for Web Mining","year":2004,"lang":"en","type":"article","venue":"Journal of Intelligent Systems","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cluster analysis; Data mining; Web mining; Artificial intelligence; Machine learning; World Wide Web; Web service","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007009379,0.0001394287,0.0002986012,0.0002590768,0.00009941099,0.000226518,0.0005848975,0.00004594782,0.00000119877],"category_scores_gemma":[0.0002541519,0.000116472,0.0000685325,0.0001763134,0.00004340008,0.000382408,0.0003020584,0.0001737081,0.000004777807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002683824,"about_ca_system_score_gemma":0.0001084703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001213358,"about_ca_topic_score_gemma":0.000006290397,"domain_scores_codex":[0.9983122,0.00006664722,0.0006248017,0.0002401816,0.0004311792,0.0003249499],"domain_scores_gemma":[0.9988483,0.0002762057,0.0002030305,0.0001979385,0.0001996,0.0002749126],"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":[0.0003434245,0.0002640277,0.000469573,0.0007648766,0.0002204116,0.000275831,0.00536685,0.839524,0.002078895,0.02428695,0.001229053,0.1251761],"study_design_scores_gemma":[0.0005475423,0.001189823,0.0002889491,0.0004289209,0.000008639755,0.00175522,0.0009661086,0.9905852,0.0003639244,0.0007214215,0.00294332,0.0002009502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02109868,0.0006058167,0.976049,0.0009428744,0.0009348279,0.0003062139,0.000006681007,0.00002240659,0.00003351969],"genre_scores_gemma":[0.6769677,0.00001525208,0.3226372,0.00003273006,0.0002561544,0.00001703732,4.740979e-7,0.00001337341,0.00006001249],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6558691,"threshold_uncertainty_score":0.4749591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1531584135483021,"score_gpt":0.3314955304579418,"score_spread":0.1783371169096397,"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."}}