{"id":"W108609803","doi":"","title":"Open BEAGLE: a new C++ Evolutionary Computation framework","year":2002,"lang":"en","type":"article","venue":"Genetic and Evolutionary Computation Conference","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Beagle; Evolutionary computation; Computer science; Computation; Biology; Artificial intelligence; Programming language; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001229052,0.00026962,0.0002662409,0.0001583364,0.0005668739,0.0005462259,0.001104364,0.0001475668,0.0002535435],"category_scores_gemma":[0.00005701731,0.0002753893,0.00004907241,0.0005081659,0.0001196046,0.001205362,0.001254877,0.0002297051,0.0002163703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007136682,"about_ca_system_score_gemma":0.0002139329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001653164,"about_ca_topic_score_gemma":0.000003395908,"domain_scores_codex":[0.9977548,0.0001488084,0.0004548676,0.000812897,0.0004635621,0.0003650342],"domain_scores_gemma":[0.9985821,0.0002336519,0.0002050004,0.0004014804,0.0002647593,0.0003130434],"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":[0.00002566791,0.0002871586,0.002086665,0.00003603509,0.00005134147,0.00003108526,0.001399568,0.03256936,0.00006001075,0.06989299,0.1383486,0.7552115],"study_design_scores_gemma":[0.0004958015,0.0001323057,0.05643963,0.00007936502,0.000009733934,0.0001089024,0.00003141752,0.7994428,0.000003747769,0.1367553,0.006191895,0.0003090886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003159418,0.002396345,0.98871,0.002731959,0.0005355085,0.0004218884,0.00001876919,0.0001993576,0.001826733],"genre_scores_gemma":[0.458401,0.0002264148,0.5402412,0.0003913847,0.0001502215,0.00001317231,0.00005470638,0.00001066809,0.0005111825],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7668735,"threshold_uncertainty_score":0.9999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04547421984359133,"score_gpt":0.2747685360348534,"score_spread":0.229294316191262,"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."}}