{"id":"W4393372145","doi":"10.1109/tevc.2024.3377802","title":"IEEE Computational Intelligence Society Information","year":2024,"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":[0.000862526,0.001026175,0.0009906943,0.00326318,0.0006361752,0.003141563,0.0009982297,0.001302376,0.1741456],"category_scores_gemma":[0.004616947,0.0004757196,0.0004857254,0.003862859,0.0004248992,0.002952337,0.001674971,0.001934022,0.1070025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006129932,"about_ca_system_score_gemma":0.00179404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00235294,"about_ca_topic_score_gemma":0.002027747,"domain_scores_codex":[0.9993228,0.0000970387,0.00005078462,0.0001026088,0.0003793035,0.00004750439],"domain_scores_gemma":[0.9977599,0.0003788933,0.00007544454,0.0007562654,0.0009180208,0.0001114505],"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":[0.00004612514,0.00003921412,0.0001972095,0.0001723052,0.00001869899,0.00005164065,0.00001943362,0.002050392,0.0008634366,0.02077368,0.5416036,0.4341643],"study_design_scores_gemma":[0.00002333027,0.00002531574,0.0004344043,0.0001487655,0.00002946184,0.0001364645,0.00002594923,0.01837459,0.001825909,0.04757372,0.9313787,0.0000232227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003723144,0.01270625,0.2874092,0.01431468,0.009732049,0.0005730202,0.02236998,0.01177292,0.6373988],"genre_scores_gemma":[0.04828249,0.01650242,0.084864,0.002357657,0.002607031,0.0007153541,0.04683704,0.002130226,0.7957038],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8258544,"threshold_uncertainty_score":0.582575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303743655357333,"score_gpt":0.2277543577714705,"score_spread":0.1947169212178971,"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."}}