{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728172,0.0001041458,0.0001177747,0.0002534963,0.0001429519,0.0004327669,0.000166453,0.00004319031,0.000002871028],"category_scores_gemma":[0.0001176654,0.0001056206,0.00002129622,0.0005651437,0.00001675679,0.01025849,0.00006666258,0.00003500267,0.00001333895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004658428,"about_ca_system_score_gemma":0.0001011422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001190093,"about_ca_topic_score_gemma":0.000002309398,"domain_scores_codex":[0.9990084,0.00006289549,0.0004963425,0.000136644,0.0001784109,0.0001172972],"domain_scores_gemma":[0.998993,0.00005850309,0.0003339893,0.0001933166,0.0003748137,0.00004639682],"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":[0.000001275568,0.00004211364,0.00005673711,0.00005231431,0.000009900734,1.557865e-8,0.003878366,0.003619696,0.0003466125,0.989985,0.0002201081,0.001787826],"study_design_scores_gemma":[0.0002872029,0.00003228602,0.0001243446,0.0000334682,0.000009324148,0.000003659403,0.0006472588,0.9925098,0.003249236,0.0008158786,0.002170669,0.0001169035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008944063,0.00005692943,0.9887154,0.00001824039,0.0001277253,0.0003337999,0.00007401667,0.00007558311,0.001654276],"genre_scores_gemma":[0.9935064,0.00005889903,0.005806738,0.00005564902,0.00001043872,0.00009602905,0.0003154362,0.000006589526,0.0001438273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9891692,"threshold_uncertainty_score":0.7437159,"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."}}