{"id":"W4214756288","doi":"10.1109/clei.2018.00004","title":"Table of contents","year":2018,"lang":"en","type":"article","venue":"","topic":"Information Systems Education and Curriculum Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal de Mato Grosso do Sul; Universidade Estadual Paulista; Universidade do Estado de Santa Catarina; Universidade Federal de Viçosa; Universidad de la República Uruguay; Universidade de São Paulo; Pontificia Universidade Católica do Paraná; University of Ontario Institute of Technology; Empresa Brasileira de Pesquisa Agropecuária; Universidade Federal de Santa Catarina; Universidade Federal de Pelotas; Indiana Corn Marketing Council; Universidad Tecnológica Nacional; Universidad Técnica Federico Santa María","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000876761,0.00002260649,0.00003743756,0.0000322513,0.00002783964,0.0000201067,0.0001976141,0.000009244563,0.0002022375],"category_scores_gemma":[0.000007076378,0.00001717299,0.000007861084,0.0001705591,0.00001250796,0.0002278823,0.00003499837,0.000008051693,0.0004754056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005827814,"about_ca_system_score_gemma":0.0000377467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001567451,"about_ca_topic_score_gemma":0.000001509797,"domain_scores_codex":[0.9996592,0.000005618633,0.0001354114,0.00004356028,0.0001004841,0.00005565875],"domain_scores_gemma":[0.9995863,0.000003756543,0.000048226,0.0001318311,0.0002073825,0.00002250618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[7.496167e-7,0.00004258526,0.003196,0.00001037745,0.000009330521,8.616044e-8,0.005201291,4.492969e-7,0.0005456138,0.8571016,0.1213514,0.01254051],"study_design_scores_gemma":[0.0005722308,0.00009805377,0.02971148,0.00003280702,0.000001198585,0.0000181052,0.001318914,0.009776311,0.1302956,0.0009511485,0.8269906,0.0002335416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01007909,0.000004618953,0.6085994,0.0003499487,0.0007796513,0.00006210649,1.897573e-7,0.00005154329,0.3800735],"genre_scores_gemma":[0.9750792,3.221194e-7,0.0182311,0.0004497267,0.00001793811,0.000003317465,3.445104e-7,5.565873e-7,0.006217496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9650001,"threshold_uncertainty_score":0.6110535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201569662347818,"score_gpt":0.2539061426383736,"score_spread":0.2337491764035918,"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."}}