{"id":"W2135135089","doi":"10.1109/iv.2008.35","title":"ARC-UI: Visualization Tool for Associative Classifiers","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Classifier (UML); Visualization; Associative property; Artificial intelligence; Machine learning; Data mining; Data visualization; Pattern recognition (psychology)","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":[0.002373813,0.002259341,0.00131905,0.00534732,0.0007706934,0.002741156,0.002334621,0.001814558,0.05074341],"category_scores_gemma":[0.01110131,0.0008310766,0.001150607,0.002893125,0.0003593337,0.003497914,0.002355227,0.002055527,0.01217749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005280516,"about_ca_system_score_gemma":0.001159666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002863782,"about_ca_topic_score_gemma":0.003759714,"domain_scores_codex":[0.9987997,0.0002734468,0.0001661704,0.0001615107,0.0005044978,0.00009460538],"domain_scores_gemma":[0.9946919,0.003304126,0.0002751641,0.0006023179,0.0008504126,0.0002759335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001035184,0.0003875643,0.004869462,0.001795592,0.000215082,0.0007278017,0.001223762,0.01168173,0.01621569,0.01798745,0.4366297,0.5072309],"study_design_scores_gemma":[0.0004831097,0.0002332142,0.005156434,0.0006190194,0.0001515496,0.001375706,0.0003268468,0.4108383,0.03910418,0.04662378,0.4948117,0.0002760362],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005604802,0.0006485889,0.5928439,0.0006314741,0.0002530677,0.0003313698,0.01471925,0.3762189,0.00874863],"genre_scores_gemma":[0.08229242,0.001047308,0.8612962,0.0004649076,0.0002326411,0.001449817,0.02109113,0.02271739,0.00940829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05074341,"threshold_uncertainty_score":0.1697536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04334740996045065,"score_gpt":0.3012809472802954,"score_spread":0.2579335373198448,"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."}}