{"id":"W2155568874","doi":"10.1057/palgrave.ivs.9500045","title":"A Visualization Model of Interactive Knowledge Discovery Systems and Its Implementations","year":2003,"lang":"en","type":"article","venue":"Information Visualization","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Visualization; Association rule learning; Data mining; Preprocessor; Discretization; Set (abstract data type); Implementation; Interactive visualization; Knowledge extraction; Information visualization; Data visualization; Component (thermodynamics); Data pre-processing; Theoretical computer science; Data science; Artificial intelligence; Software engineering; Programming language","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":[0.002976907,0.001177466,0.001043775,0.002187742,0.001238967,0.006777508,0.003875008,0.002403023,0.008616525],"category_scores_gemma":[0.01153702,0.00115213,0.001684863,0.002604189,0.00215274,0.007685116,0.002910716,0.003034689,0.002708106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123647,"about_ca_system_score_gemma":0.001697908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003495965,"about_ca_topic_score_gemma":0.001656983,"domain_scores_codex":[0.996917,0.001018253,0.0002942939,0.0005229441,0.001068528,0.000179065],"domain_scores_gemma":[0.9946866,0.002800436,0.0002571658,0.001329529,0.0007367068,0.0001894604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002348526,0.0001593188,0.001397236,0.0005926577,0.0001380238,0.0004611461,0.001813404,0.07285276,0.006204505,0.6978036,0.01746567,0.2008767],"study_design_scores_gemma":[0.00006836269,0.00009680264,0.0002718361,0.0001386212,0.00004781013,0.0005011078,0.000166551,0.512439,0.005458781,0.4040909,0.07665101,0.00006917718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008760822,0.00013821,0.9937221,0.0003821437,0.00002896618,0.00005285374,0.0001024155,0.002477341,0.00221968],"genre_scores_gemma":[0.04669191,0.0005547564,0.9484125,0.0002791803,0.00008763586,0.0005856569,0.0005670384,0.0003805863,0.002440846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008616525,"threshold_uncertainty_score":0.02882516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311332588855942,"score_gpt":0.3432125757204657,"score_spread":0.3120793168348715,"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."}}