{"id":"W2084294763","doi":"10.4018/ijssci.2014010103","title":"Simulation and Visualization of Concept Algebra in MATLAB","year":2014,"lang":"en","type":"article","venue":"International Journal of Software Science and Computational Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Visualization; MATLAB; Algebra over a field; Programming language; Visual modeling; Software; Theoretical computer science; Artificial intelligence; Unified Modeling Language; Mathematics; Pure mathematics","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":[0.00116829,0.00008628815,0.0001455426,0.0004756448,0.00006573131,0.0001529515,0.0006136146,0.00003047469,0.00000400217],"category_scores_gemma":[0.001272142,0.00008014656,0.00002643504,0.0005619572,0.0003489777,0.0008114203,0.0002045413,0.00009964788,7.952975e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000469178,"about_ca_system_score_gemma":0.0001677718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008999747,"about_ca_topic_score_gemma":0.000001555416,"domain_scores_codex":[0.9982896,0.00005729512,0.0004853093,0.0002099512,0.000838974,0.0001188905],"domain_scores_gemma":[0.9960818,0.001052736,0.0003642906,0.00006643574,0.002361362,0.0000733651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001340231,0.00004300804,0.004189784,0.000004902338,0.000009477028,0.000004063573,0.000847231,0.544901,0.00002941773,0.05726502,0.000006988801,0.3926857],"study_design_scores_gemma":[0.0001630457,0.0001285663,0.01948329,0.0001492974,0.000002821583,0.00005053899,0.00004468003,0.9194636,0.0005705448,0.05979453,0.0000639287,0.0000851325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0861832,0.0001819931,0.912981,0.000212466,0.0003402914,0.00004112818,8.799645e-7,0.00001151632,0.00004753592],"genre_scores_gemma":[0.9667183,0.00002005855,0.03294091,0.0002451021,0.00006799402,4.827933e-7,0.000001042198,0.000002950504,0.0000032144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8805351,"threshold_uncertainty_score":0.3268282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196468163088614,"score_gpt":0.3258940713820529,"score_spread":0.3039293897511667,"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."}}