{"id":"W4290989178","doi":"10.1109/compsac54236.2022.00004","title":"Table of Contents","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université de Sherbrooke","funders":"Bangladesh University of Engineering and Technology; Nanjing University; University of Connecticut; Universidade Federal de Santa Maria; Institució Catalana de Recerca i Estudis Avançats; Universidade Federal do Paraná; Université de Sherbrooke; University of Engineering and Technology, Lahore","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003481034,0.0001804213,0.0004786171,0.0002095201,0.0005705124,0.00007269414,0.000516415,0.00003933054,0.002116944],"category_scores_gemma":[0.00001520306,0.000226779,0.00009169919,0.0003570595,0.0002218989,0.0002089161,0.0003858954,0.0001788774,0.0003893262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005047747,"about_ca_system_score_gemma":0.00003399874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002896479,"about_ca_topic_score_gemma":0.000007755957,"domain_scores_codex":[0.998394,0.00002118551,0.0005677475,0.0006282284,0.0000752031,0.0003136409],"domain_scores_gemma":[0.9989223,0.0000888698,0.0003842187,0.0004056867,0.00008486141,0.0001140092],"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":[0.00007006511,0.0008148212,0.04892311,0.0001806815,0.0004030809,0.000005004251,0.004324765,0.001989918,0.00004423952,0.5714339,0.3505169,0.02129358],"study_design_scores_gemma":[0.0009544584,0.0001363977,0.004774377,0.00001040651,0.00001860754,0.000007180077,0.002962905,0.003511,0.00003239995,0.01470002,0.9724147,0.0004775151],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1219148,0.008654012,0.7127574,0.001074421,0.008727814,0.003598242,0.03872318,0.0006222144,0.1039279],"genre_scores_gemma":[0.9685296,0.0003511565,0.003676527,0.0005081538,0.0001324272,0.000432304,0.0001393466,0.00002665869,0.02620385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8466148,"threshold_uncertainty_score":0.9987953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03778607976693656,"score_gpt":0.2126268912883736,"score_spread":0.174840811521437,"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."}}