{"id":"W2026082078","doi":"10.1002/widm.17","title":"Introducing WIREs Data Mining and Knowledge Discovery","year":2011,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Knowledge extraction; Cluster analysis; Data science; Computer science; Data mining; Data stream mining; Artificial intelligence","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":[0.005356273,0.0008949119,0.000981005,0.004822283,0.001131379,0.006608853,0.002336733,0.001572449,0.00962285],"category_scores_gemma":[0.0181545,0.0008699637,0.001613969,0.006419112,0.003444727,0.01145679,0.006290936,0.003855094,0.003929699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239912,"about_ca_system_score_gemma":0.002298545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291175,"about_ca_topic_score_gemma":0.0009757808,"domain_scores_codex":[0.9957646,0.001097137,0.0004919381,0.0008445581,0.001625014,0.0001766768],"domain_scores_gemma":[0.9892247,0.006272083,0.0005519057,0.002260003,0.001365492,0.0003258499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000235209,0.00002666287,0.0004677911,0.0001883172,0.00004833901,0.0000960111,0.0001149081,0.003842544,0.0003656321,0.8946285,0.009775016,0.09042273],"study_design_scores_gemma":[0.000009452133,0.000009798985,0.0001026657,0.0001125274,0.00002905021,0.0001128636,0.00006597472,0.03031309,0.0009259302,0.859305,0.1089987,0.00001483477],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"editorial","genre_scores_codex":[0.001498699,0.001438602,0.9780011,0.005878421,0.0008176956,0.0000808,0.0005120924,0.001183469,0.01058923],"genre_scores_gemma":[0.06303994,0.005568425,0.9019418,0.003037055,0.001251025,0.0005322217,0.001666343,0.0007203789,0.0222428],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.00962285,"threshold_uncertainty_score":0.03219163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07684688907758393,"score_gpt":0.3281195545370965,"score_spread":0.2512726654595125,"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."}}