{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004950695,0.0007653642,0.0003746759,0.0006057751,0.0003320995,0.001678325,0.001515278,0.0008339671,0.07922773],"category_scores_gemma":[0.001467389,0.0003583292,0.0007696633,0.0002746476,0.0004832932,0.001779001,0.002714213,0.0007764664,0.01168391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540268,"about_ca_system_score_gemma":0.0002897534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008401497,"about_ca_topic_score_gemma":0.001403714,"domain_scores_codex":[0.9996457,0.00006301553,0.00001412654,0.00006233683,0.0001696979,0.00004508223],"domain_scores_gemma":[0.9996798,0.0001212562,0.00001229896,0.00009110002,0.00005102155,0.00004459589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000944981,0.0002628716,0.002832979,0.001398526,0.0001149027,0.001411913,0.002475257,0.02621738,0.0558099,0.1139705,0.1974868,0.5970739],"study_design_scores_gemma":[0.00009172632,0.0001760335,0.001169209,0.0001520608,0.0000328455,0.001120732,0.0002420934,0.0398153,0.01339367,0.01341117,0.9303178,0.00007743403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02741363,0.001217195,0.6876197,0.0006149342,0.0004508772,0.0002826444,0.004133975,0.07195064,0.2063164],"genre_scores_gemma":[0.3837039,0.001654323,0.4156728,0.0008326185,0.0001679525,0.0006996606,0.01430765,0.01462748,0.1683337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07922773,"threshold_uncertainty_score":0,"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."}}