{"id":"W4381277764","doi":"10.1109/tevc.2023.3278018","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; Theoretical computer science","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":[0.0008624294,0.001030398,0.001001598,0.003276212,0.0006351159,0.003151597,0.001002252,0.001304561,0.1748988],"category_scores_gemma":[0.004638745,0.0004767956,0.0004867769,0.003895801,0.0004230356,0.002958345,0.001678143,0.001932579,0.1078563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006085496,"about_ca_system_score_gemma":0.001786741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002328035,"about_ca_topic_score_gemma":0.002005227,"domain_scores_codex":[0.9993238,0.00009633388,0.00005077092,0.0001023768,0.0003795663,0.00004721353],"domain_scores_gemma":[0.9977505,0.0003796996,0.00007546584,0.0007590788,0.0009235108,0.000111913],"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":[0.00004612151,0.00003904912,0.0001962703,0.0001716404,0.00001860805,0.0000514063,0.0000193008,0.002053323,0.0008573451,0.02052618,0.542371,0.4336498],"study_design_scores_gemma":[0.00002341364,0.00002549501,0.0004353504,0.0001484986,0.00002948281,0.0001368229,0.00002588307,0.01854448,0.001824675,0.04729438,0.9314882,0.00002329282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003698338,0.01267891,0.2877898,0.01419221,0.009720943,0.0005789655,0.02238713,0.0118106,0.6371431],"genre_scores_gemma":[0.04766359,0.01647268,0.084709,0.002339398,0.002603326,0.0007189686,0.04678172,0.002135206,0.7965761],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8251012,"threshold_uncertainty_score":0.5850948,"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."}}