{"id":"W2178542274","doi":"10.4018/jcini.2008010105","title":"User-Centered Interactive Data Mining","year":2008,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Focus (optics); User modeling; Selection (genetic algorithm); Automation; Data mining; User requirements document; Data stream mining; Data science; User interface; Human–computer interaction; Machine learning; Software engineering","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":[0.01749978,0.00173503,0.001876502,0.002694575,0.001293852,0.006868184,0.005378909,0.001893437,0.006128898],"category_scores_gemma":[0.04251953,0.0009814318,0.002041897,0.003055081,0.001782565,0.006693317,0.007180964,0.00235574,0.00278425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048771,"about_ca_system_score_gemma":0.002922876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002185598,"about_ca_topic_score_gemma":0.002905374,"domain_scores_codex":[0.9767969,0.01131773,0.001403284,0.003093307,0.006525923,0.0008627895],"domain_scores_gemma":[0.9594395,0.02242458,0.001644114,0.009374782,0.005993823,0.001123271],"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":[0.002282339,0.001453541,0.03315875,0.001749375,0.0008461657,0.001582757,0.01574354,0.04014287,0.02782821,0.1494394,0.02559595,0.7001771],"study_design_scores_gemma":[0.0002041529,0.0004965267,0.00650081,0.0003747795,0.0003343892,0.001761516,0.002053078,0.6820421,0.04200174,0.1692638,0.09461063,0.0003564716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006870663,0.0001607198,0.9851703,0.000375526,0.00001780302,0.0002978343,0.0002658235,0.00379065,0.00305073],"genre_scores_gemma":[0.2211855,0.0002661109,0.7725101,0.0004315672,0.00006419791,0.0007603153,0.001303891,0.0003804538,0.00309782],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01749978,"threshold_uncertainty_score":0.09254885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05587008671700552,"score_gpt":0.3388465204695839,"score_spread":0.2829764337525784,"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."}}