{"id":"W4226344016","doi":"10.1109/cecit53797.2021.00004","title":"Table of Contents","year":2021,"lang":"en","type":"article","venue":"2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Medical Research Council; Beijing Electronic Science and Technology Institute; University of Science and Technology Beijing; Nanjing University; Civil Aviation Administration of China; Beijing University of Posts and Telecommunications; University of Electronic Science and Technology of China; Ministry of Industry and Information Technology of the People's Republic of China; Communication University of China; National University of Defense Technology; McGill University; Nanjing University of Information Science and Technology; China University of Petroleum, Beijing; Styrelsen för Internationellt Utvecklingssamarbete","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006676259,0.001043138,0.0008489646,0.004734268,0.001790314,0.004551399,0.001388519,0.00103135,0.8663193],"category_scores_gemma":[0.007415575,0.0003112312,0.0005877144,0.003402258,0.0003720082,0.001884594,0.001930126,0.001213709,0.8181508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844964,"about_ca_system_score_gemma":0.00334159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005584028,"about_ca_topic_score_gemma":0.00699659,"domain_scores_codex":[0.999268,0.00009336665,0.00003429487,0.0001205428,0.0004150636,0.00006875423],"domain_scores_gemma":[0.9968802,0.0005682809,0.000124354,0.0002962846,0.001658128,0.0004728199],"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":[0.00001448564,0.00002118348,0.0001268367,0.0001359811,0.000003021049,0.00001686911,0.00001282811,0.00006427758,0.00007741106,0.001164157,0.9536756,0.04468727],"study_design_scores_gemma":[0.000005669614,0.00001071379,0.0002759163,0.0001754314,0.000003742186,0.00002907978,0.00003308736,0.00003303833,0.00007591172,0.001001432,0.9983511,0.000004926447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004729597,0.003593232,0.00212015,0.003756152,0.01137613,0.0006007886,0.05622396,0.002250534,0.9196061],"genre_scores_gemma":[0.00220044,0.00314374,0.001598645,0.00276514,0.00258857,0.0004997816,0.03937877,0.00104754,0.9467774],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1336807,"threshold_uncertainty_score":0.1906792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04226655014631975,"score_gpt":0.2410472070803473,"score_spread":0.1987806569340276,"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."}}