{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002191067,0.0009493835,0.0008664647,0.00109955,0.0008413173,0.002421241,0.003730331,0.0016474,0.01278617],"category_scores_gemma":[0.005849903,0.000717445,0.001296407,0.0009969738,0.0009956852,0.002888937,0.002081539,0.002796482,0.004198418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006667106,"about_ca_system_score_gemma":0.00139591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003714712,"about_ca_topic_score_gemma":0.003519556,"domain_scores_codex":[0.9984717,0.0003301289,0.0001046231,0.0002438837,0.0006926246,0.0001570466],"domain_scores_gemma":[0.9987185,0.0004750091,0.00006217656,0.0002784377,0.0003457288,0.0001201405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004900388,0.0001975451,0.0008820282,0.0004695031,0.0001906407,0.0004195373,0.0003077927,0.1220553,0.01530084,0.2327844,0.07889084,0.5480115],"study_design_scores_gemma":[0.000253415,0.0001287502,0.0003478268,0.0001280581,0.00008030103,0.0004590933,0.00004099232,0.5121682,0.01173264,0.1394404,0.3350859,0.0001343881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00147781,0.0002261,0.976579,0.0002449754,0.0001573824,0.0001016871,0.0003271558,0.01531623,0.005569762],"genre_scores_gemma":[0.03462913,0.0005925684,0.9466712,0.0005528331,0.0001066735,0.0005159855,0.001803262,0.007052,0.008076292],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01278617,"threshold_uncertainty_score":0.04277402,"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."}}