{"id":"W2872295371","doi":"10.1145/3205651.3208282","title":"EvoNN","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Evolutionary computation; Activation function; Process (computing); Computation; Function (biology); Artificial intelligence; Algorithm; Programming language; Artificial neural network; Evolutionary biology","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":[0.0009322384,0.0009596632,0.0004805924,0.001384343,0.00122312,0.00345788,0.001546987,0.001251788,0.2695211],"category_scores_gemma":[0.004519617,0.0003697161,0.0005704595,0.001046017,0.0006013273,0.002933166,0.003904393,0.001252911,0.1709992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009643013,"about_ca_system_score_gemma":0.001163011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002576698,"about_ca_topic_score_gemma":0.003384586,"domain_scores_codex":[0.9987695,0.0001798069,0.00007097561,0.0003133506,0.0004712049,0.0001950907],"domain_scores_gemma":[0.9985237,0.0002098915,0.00005293548,0.0004599279,0.0006062497,0.0001472929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004283885,0.00009523182,0.002650591,0.0004765257,0.00004255275,0.0004178169,0.000292246,0.002330878,0.004667581,0.08852843,0.5066709,0.3933989],"study_design_scores_gemma":[0.0000247829,0.00002863533,0.0006719533,0.0001139505,0.0000117893,0.0003028701,0.00009146595,0.002593703,0.003157565,0.0154121,0.9775709,0.00002029279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01138257,0.001524475,0.09792648,0.003358485,0.003311535,0.0002094638,0.01522835,0.04042074,0.8266379],"genre_scores_gemma":[0.1184499,0.001929147,0.05686093,0.005139826,0.0007406634,0.0003291761,0.0489416,0.01709977,0.750509],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2695211,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971042689048337,"score_gpt":0.2428298515577128,"score_spread":0.2231194246672294,"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."}}