{"id":"W2961386591","doi":"10.1145/3319619.3321979","title":"EvoIsland","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Interface (matter); Human–computer interaction; Augmented reality; Range (aeronautics); User interface; Code (set theory); Programming language; Engineering; Operating system; Set (abstract data type)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008666273,0.00009234681,0.0001371518,0.0000609532,0.0001544946,0.00003716169,0.0004118067,0.00005174467,0.000008358576],"category_scores_gemma":[0.00001625898,0.00006906428,0.00003315522,0.0002087359,0.0001199979,0.0001739926,0.0003583057,0.00008991872,0.00001080855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001464698,"about_ca_system_score_gemma":0.00003406411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000702975,"about_ca_topic_score_gemma":5.910368e-7,"domain_scores_codex":[0.9992915,0.000008662757,0.0001766299,0.0002274263,0.0001733638,0.0001224553],"domain_scores_gemma":[0.9994734,0.00003608884,0.0001326691,0.00009134916,0.0002427623,0.00002376341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001723466,0.00008533591,0.4204347,0.0001522377,0.00005625398,2.022013e-7,0.002612033,0.0006059497,0.003731171,0.5465507,0.005507942,0.02024621],"study_design_scores_gemma":[0.000295338,0.00007265811,0.7470475,0.00005138646,0.000007341191,0.0000298723,0.0001891204,0.1258633,0.0001597224,0.1253163,0.0008470459,0.0001203829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540656,0.0003222295,0.04030618,0.001361735,0.0003042835,0.0001968762,0.000001046845,0.00007157129,0.003370432],"genre_scores_gemma":[0.9866688,0.00003726019,0.0129923,0.00006215947,0.00001627155,0.000005209218,4.657231e-7,0.000002593213,0.000214888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4212344,"threshold_uncertainty_score":0.281636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394149648109455,"score_gpt":0.2170710281393905,"score_spread":0.2031295316582959,"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."}}