{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002835359,0.0001198337,0.000160408,0.0002189261,0.00009518251,0.0002129039,0.001956377,0.00003228378,0.00001043408],"category_scores_gemma":[0.0004571774,0.00009673987,0.00004657171,0.0001649735,0.0001160178,0.003202166,0.0008019616,0.000276064,0.00001536029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002800497,"about_ca_system_score_gemma":0.00009028397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007294511,"about_ca_topic_score_gemma":0.000001893773,"domain_scores_codex":[0.9986227,0.00002095147,0.0006505401,0.0001200777,0.000453613,0.0001321023],"domain_scores_gemma":[0.9975235,0.0004820991,0.0005762763,0.0002098315,0.001119489,0.00008880655],"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":[0.00007626929,0.0001321884,0.0009574032,0.000007547964,0.0003017343,0.0001186857,0.007929397,0.00001613747,0.00004113673,0.00333259,0.001741163,0.9853457],"study_design_scores_gemma":[0.001277679,0.000475776,0.009596678,0.001282927,0.00006057479,0.009535117,0.007884781,0.9429741,0.005837827,0.001792748,0.01857529,0.0007064983],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1083973,0.0003413688,0.8890387,0.00042916,0.001020247,0.0000746967,0.00008391435,0.00001827072,0.0005964108],"genre_scores_gemma":[0.8689594,0.0008229512,0.129506,0.0004749476,0.0001312398,0.00000140163,0.00004070803,0.000004078076,0.00005923725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9846392,"threshold_uncertainty_score":0.3944937,"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."}}