{"id":"W3046276070","doi":"10.1145/3377929.3390007","title":"DarwiNN","year":2020,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Toolbox; Leverage (statistics); Cloud computing; Inference; Kernel (algebra); Neuroevolution; Deep neural networks; Artificial intelligence; Computation; Deep learning; Variety (cybernetics); Artificial neural network; Distributed computing; Machine learning; Theoretical computer science; Parallel computing; Algorithm; Programming language; Operating system","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":[0.0004169865,0.0005490957,0.0004441614,0.0003170831,0.0004318002,0.0006694105,0.00137735,0.0006789057,0.02317226],"category_scores_gemma":[0.001995746,0.0002752673,0.0005014436,0.0003165974,0.0003768552,0.0008112739,0.001182847,0.001295947,0.006620954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004961031,"about_ca_system_score_gemma":0.0007906243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002182244,"about_ca_topic_score_gemma":0.004401642,"domain_scores_codex":[0.9997358,0.00004170929,0.00001467472,0.0000808094,0.00009455914,0.00003250678],"domain_scores_gemma":[0.9996568,0.0001112821,0.0000196745,0.00007823508,0.0001027466,0.00003130638],"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":[0.0003516805,0.0001351394,0.003659346,0.0005893367,0.0001379804,0.0002710616,0.0002824407,0.2027094,0.01505434,0.1160932,0.1692978,0.4914183],"study_design_scores_gemma":[0.000104473,0.00006478407,0.0007548863,0.00004847039,0.00003339894,0.0002135693,0.00004352239,0.7691768,0.01403618,0.04871096,0.1667754,0.00003758447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02076573,0.0006254286,0.8713475,0.0004394026,0.0006365615,0.0001978001,0.002555938,0.04695593,0.0564758],"genre_scores_gemma":[0.2590633,0.0007475491,0.6455152,0.0009058038,0.0001555001,0.0008982022,0.007817425,0.01845383,0.06644323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02317226,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225282456266443,"score_gpt":0.2337507219338552,"score_spread":0.2114978973711908,"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."}}