{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006081837,0.0009356653,0.0009246547,0.003622007,0.001606045,0.00448771,0.001412117,0.001055588,0.8901392],"category_scores_gemma":[0.006967341,0.0003349153,0.0004970355,0.003038564,0.0003232824,0.002276003,0.001798705,0.001232644,0.831369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492382,"about_ca_system_score_gemma":0.002595352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005337167,"about_ca_topic_score_gemma":0.006690537,"domain_scores_codex":[0.9994245,0.00008325565,0.00003525165,0.000102854,0.0002991445,0.0000550078],"domain_scores_gemma":[0.9969763,0.0005444242,0.0001088157,0.0003033872,0.001649901,0.0004171608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001379513,0.00001979558,0.00009140631,0.0001317338,0.000002426971,0.0000143866,0.00001133376,0.00006023305,0.00007648924,0.001099709,0.9528406,0.04563815],"study_design_scores_gemma":[0.00000546865,0.0000111072,0.0002272906,0.0001518565,0.000002849371,0.00003233476,0.00002782029,0.00003122846,0.00007012855,0.0008022201,0.9986326,0.0000050578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000441772,0.003071777,0.002745221,0.003903649,0.01038511,0.0006339378,0.06434062,0.003174709,0.9113031],"genre_scores_gemma":[0.001879368,0.002700811,0.001834648,0.002835789,0.002106206,0.0004338454,0.04075547,0.001150756,0.946303],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1098608,"threshold_uncertainty_score":0.156703,"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."}}