{"id":"W4248625964","doi":"10.1109/eftf.2014.7331407","title":"Topic table of contents","year":2014,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Information and Communications Technology; Leibniz-Gemeinschaft; Natural Environment Research Council; Uniwersytet Opolski; National Research Nuclear University MEPhI; Istituto Nazionale di Ricerca Metrologica; Université Paris 13; Université de Franche-Comté; Peking University; Iran Telecommunication Research Center; Max-Planck-Institut für Physik Komplexer Systeme; Akademia Górniczo-Hutnicza im. Stanislawa Staszica; Univerza v Ljubljani; National Physical Laboratory; Observatoire de Paris, Université de Recherche Paris Sciences et Lettres; High Energy Accelerator Research Organization; Université de Bordeaux; Advanced Scientific Computing Research; University of California, Davis; Università degli Studi di Firenze; Universität Wien; Technische Universität Wien; Centre National de la Recherche Scientifique; Politechnika Warszawska; Université de Sherbrooke; Politechnika Poznańska; Huazhong University of Science and Technology; Technische Universität München; National Institute of Metrology, China; Colorado State University; Chang'an University; Chinese Academy of Sciences; Centre National d’Etudes Spatiales; National University of Defense Technology; University of Washington; European Space Agency; Durham University; Tsinghua University; Wojskowa Akademia Techniczna; Politecnico di Torino; National Research Council Canada; České Vysoké Učení Technické v Praze; University of Ottawa; Beijing Jiaotong University; Louisiana State University; City University of Hong Kong","keywords":"Computer science; Table (database); Information retrieval; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005932045,0.001086545,0.001335058,0.006163139,0.001567178,0.005808887,0.001118351,0.001365556,0.8457883],"category_scores_gemma":[0.005799612,0.0003152021,0.0006053633,0.004684634,0.0003528244,0.003030453,0.002234138,0.001351365,0.799674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405344,"about_ca_system_score_gemma":0.002567482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196633,"about_ca_topic_score_gemma":0.003683025,"domain_scores_codex":[0.9994681,0.00006251266,0.00003048798,0.000109305,0.0002652686,0.00006434473],"domain_scores_gemma":[0.9965476,0.0005467234,0.0001861835,0.000228469,0.001588776,0.0009022219],"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":[0.00001289212,0.00001789166,0.00007863664,0.0001798363,0.000002261171,0.00001224923,0.00001102719,0.00002851036,0.0001067398,0.0006600426,0.9581144,0.04077549],"study_design_scores_gemma":[0.000006619934,0.000009450856,0.0003226083,0.0002211086,0.000003906808,0.00002632526,0.00002755781,0.00003374194,0.00007207438,0.0006797242,0.9985928,0.000004132255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005322569,0.008794473,0.001634049,0.00639619,0.02907216,0.00057814,0.02601798,0.001759591,0.9252152],"genre_scores_gemma":[0.001742874,0.005214217,0.0006309738,0.002390728,0.009987698,0.0002995318,0.01277539,0.0008668214,0.9660918],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1542117,"threshold_uncertainty_score":0.2199643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04851460645441431,"score_gpt":0.1850458753317629,"score_spread":0.1365312688773486,"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."}}