{"id":"W4247167517","doi":"10.1109/ahs.2015.7231148","title":"Preface","year":2015,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004910745,0.00001856758,0.00001672647,0.000008864905,0.00002235191,0.00001974621,0.0002281006,0.000007464227,0.000007524713],"category_scores_gemma":[0.000003851632,0.00001498919,0.000006944233,0.0001055646,0.000006198091,0.0001624767,0.00006645588,0.0000152204,0.0003668203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008201978,"about_ca_system_score_gemma":0.0000288965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009494251,"about_ca_topic_score_gemma":7.206232e-7,"domain_scores_codex":[0.9997747,0.00000398778,0.00003159137,0.00007574866,0.00006406431,0.00004990906],"domain_scores_gemma":[0.9997241,0.00000572458,0.000006173438,0.0001776959,0.00003033108,0.00005598818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[7.168259e-8,0.00001820124,0.00008552355,1.539348e-7,6.953529e-7,2.919084e-7,0.00006434282,0.00007356843,0.00002743455,0.9577706,0.03549746,0.006461698],"study_design_scores_gemma":[0.0002045722,0.00003639562,0.003374858,0.000001002072,7.136761e-7,0.00001777624,0.0000416221,0.2965004,0.0006867119,0.1302334,0.5687854,0.0001172623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006478419,0.00003130121,0.9127575,0.002964307,0.00004531763,0.00002552824,1.228938e-7,0.0001256641,0.08340247],"genre_scores_gemma":[0.3027475,0.000001623153,0.6851567,0.0003908722,0.0000479942,0.00001459789,6.796246e-7,0.000001539473,0.01163847],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8275372,"threshold_uncertainty_score":0.4714856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523017411762691,"score_gpt":0.2636766534504009,"score_spread":0.228446479332774,"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."}}