{"id":"W1950860289","doi":"10.3233/ida-2008-12205","title":"Bridging the gap between data mining and decision support: A case-based reasoning and ontology approach","year":2008,"lang":"en","type":"article","venue":"Intelligent Data Analysis","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Bridging (networking); Ontology; Computer science; Decision support system; Data science; Data mining; Knowledge management; Epistemology","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":[0.01503317,0.001159386,0.001468834,0.008482897,0.00275308,0.01207827,0.005849223,0.005065547,0.004118749],"category_scores_gemma":[0.01445841,0.001065449,0.001989542,0.007157046,0.01133762,0.01271872,0.006605073,0.002966533,0.0006333228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004661876,"about_ca_system_score_gemma":0.004317735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007870259,"about_ca_topic_score_gemma":0.006699178,"domain_scores_codex":[0.9888542,0.007016029,0.0007848532,0.0004868874,0.002300445,0.0005576456],"domain_scores_gemma":[0.9874238,0.0101832,0.0006594376,0.0007209311,0.0006000058,0.000412672],"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":[0.00005015868,0.0001935761,0.0008611517,0.0002896097,0.00005228945,0.001191785,0.00170946,0.007484778,0.0003066181,0.9431674,0.00294278,0.04175038],"study_design_scores_gemma":[0.0001100576,0.0000629599,0.0003974087,0.0008133681,0.00007975745,0.001354377,0.002883456,0.06931026,0.00103536,0.8405449,0.08333867,0.00006943021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01238762,0.007000753,0.8955454,0.03261396,0.0004442135,0.0003473781,0.0001963545,0.0002053698,0.05125897],"genre_scores_gemma":[0.1947054,0.006317773,0.7918511,0.00177233,0.000337775,0.0004721835,0.000242666,0.0000508382,0.00424982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01503317,"threshold_uncertainty_score":0.07950395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568791216608444,"score_gpt":0.3427810502239256,"score_spread":0.1859019285630813,"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."}}