{"id":"W2104985884","doi":"10.4018/978-1-60566-010-3.ch168","title":"On Interactive Data Mining","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Judgement; Computer science; Set (abstract data type); Preference; Order (exchange); Implementation; Quality (philosophy); Data science; 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":[0.01472806,0.002510263,0.00343916,0.008054338,0.003009043,0.01082462,0.008498223,0.004431259,0.02211098],"category_scores_gemma":[0.04630417,0.00166362,0.004420739,0.01110728,0.004413743,0.01808745,0.01265439,0.005744963,0.009417227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00247935,"about_ca_system_score_gemma":0.003058238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002488876,"about_ca_topic_score_gemma":0.002886531,"domain_scores_codex":[0.9800362,0.007914708,0.001751206,0.003908186,0.005815516,0.0005742456],"domain_scores_gemma":[0.9687902,0.02111429,0.0007370285,0.006239164,0.002407456,0.0007117633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003531803,0.0002662751,0.00246953,0.002058173,0.0005996252,0.0005433276,0.001113568,0.01733156,0.001193335,0.3074585,0.1085928,0.5580201],"study_design_scores_gemma":[0.00009495715,0.0001005494,0.0007697243,0.0006434658,0.00009512892,0.0008526566,0.0003370216,0.09094572,0.001470638,0.6147377,0.2898695,0.00008297909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002338138,0.0149909,0.9360031,0.009963843,0.001379724,0.0009028392,0.001869899,0.005087024,0.02746459],"genre_scores_gemma":[0.06252567,0.01759197,0.8797609,0.005871488,0.003557943,0.002567725,0.006725466,0.001124251,0.02027458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02211098,"threshold_uncertainty_score":0.07789034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04198850401590351,"score_gpt":0.2852406747754194,"score_spread":0.2432521707595159,"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."}}