{"id":"W107501309","doi":"","title":"Towards semantic data analysis","year":2013,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Ontology; Semantic analysis (machine learning); Intelligence analysis; Business intelligence; Data science; Semantics (computer science); Set (abstract data type); Information retrieval; Semantic technology; Semantic Web; Semantic computing; Data mining; 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":[0.001038132,0.0001818578,0.0005180005,0.0002389209,0.0004523391,0.0001656618,0.003686341,0.00004823359,0.00001734349],"category_scores_gemma":[0.004611441,0.0001090256,0.0001009977,0.003309709,0.0005813406,0.0005481305,0.002227046,0.0001985819,0.00002224517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008801436,"about_ca_system_score_gemma":0.0004028191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003756455,"about_ca_topic_score_gemma":0.0004838343,"domain_scores_codex":[0.9972889,0.0003994674,0.0003420207,0.0006856056,0.0007521624,0.0005318411],"domain_scores_gemma":[0.9909998,0.00145981,0.000194547,0.002228861,0.005041834,0.00007518808],"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":[0.0002537585,0.0007153793,0.004530828,0.0005433671,0.006387464,0.000008796047,0.01900049,0.002688545,0.006779423,0.7003418,0.06212366,0.1966265],"study_design_scores_gemma":[0.004575896,0.001679651,0.02519229,0.001037121,0.0006199665,0.000001904477,0.1276717,0.3675853,0.1549175,0.2840626,0.03100912,0.00164691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2852378,0.01441066,0.3707769,0.2862952,0.005146992,0.01846375,0.001270349,0.0005708471,0.01782742],"genre_scores_gemma":[0.9832729,0.0005444714,0.01445139,0.00006292043,0.00002718539,0.0001234894,0.000007247521,0.000007274696,0.001503189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.698035,"threshold_uncertainty_score":0.6850201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2309517727204134,"score_gpt":0.4414059552533354,"score_spread":0.210454182532922,"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."}}