{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.00164329,0.000548973,0.0007291454,0.0001138645,0.0004034726,0.0003439151,0.001618371,0.0002289673,0.00001743914],"category_scores_gemma":[0.0001998266,0.0004507416,0.00009956546,0.0001715322,0.0003962883,0.0003898529,0.0153738,0.0002185199,0.00002142646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001933868,"about_ca_system_score_gemma":0.0001665159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001204813,"about_ca_topic_score_gemma":0.0004542551,"domain_scores_codex":[0.9967402,0.0002038073,0.0009450133,0.001452615,0.00009852897,0.000559874],"domain_scores_gemma":[0.9961537,0.00007921716,0.0003512239,0.003156449,0.00004997634,0.0002094235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003406039,0.0004029932,0.00500183,0.001303263,0.0003907352,0.00001634699,0.01158284,9.056801e-7,0.002709168,0.0001126694,0.3130934,0.6650453],"study_design_scores_gemma":[0.004343461,0.002604997,0.005387483,0.01377546,0.001672352,0.001090139,0.02331701,0.03069071,0.001465346,0.000525816,0.9095636,0.005563653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5815375,0.3837514,0.009902617,0.0001787756,0.002226359,0.001040555,0.002101795,0.00005934527,0.01920169],"genre_scores_gemma":[0.8740069,0.07537696,0.02449604,0.0002929695,0.003784282,0.00009687096,0.0149161,0.0001882008,0.00684166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6594816,"threshold_uncertainty_score":0.9997944,"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."}}