{"id":"W4389160579","doi":"10.1109/tevc.2023.3334058","title":"IEEE Computational Intelligence Society Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Evolutionary Computation","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Gottfried Wilhelm Leibniz Universität Hannover; Universiteit Maastricht; Ulster University; Victoria University of Wellington; Leibniz-Gemeinschaft; St. Francis Xavier University; Manchester Metropolitan University; Victoria University; Queen Mary University of London; Hainan University; University of Missouri","keywords":"Computer science; Computational intelligence; Artificial intelligence","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":[],"category_scores_codex":[0.0008624294,0.001030399,0.001001599,0.003276215,0.0006351162,0.003151598,0.001002252,0.001304562,0.1748991],"category_scores_gemma":[0.004638749,0.0004767956,0.0004867769,0.003895807,0.0004230356,0.002958345,0.001678144,0.001932581,0.1078567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006085499,"about_ca_system_score_gemma":0.001786743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002328037,"about_ca_topic_score_gemma":0.002005228,"domain_scores_codex":[0.9993238,0.00009633397,0.00005077102,0.000102377,0.000379567,0.00004721362],"domain_scores_gemma":[0.9977505,0.0003796997,0.00007546591,0.0007590792,0.0009235108,0.0001119131],"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":[0.00004612151,0.00003904909,0.0001962703,0.0001716402,0.00001860803,0.00005140626,0.00001930079,0.002053321,0.0008573448,0.02052616,0.5423716,0.4336492],"study_design_scores_gemma":[0.00002341365,0.00002549497,0.0004353497,0.0001484985,0.00002948277,0.0001368227,0.00002588302,0.01854442,0.001824671,0.04729426,0.9314884,0.00002329278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003698332,0.0126789,0.287789,0.01419221,0.009720938,0.0005789655,0.02238715,0.01181061,0.637144],"genre_scores_gemma":[0.04766345,0.01647267,0.08470877,0.002339394,0.002603325,0.0007189686,0.04678176,0.002135206,0.7965764],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8251009,"threshold_uncertainty_score":0.5850958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0436291279637177,"score_gpt":0.2307166346835667,"score_spread":0.187087506719849,"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."}}