{"id":"W916572488","doi":"","title":"Evolution by Computational Selection","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Knapsack problem; Solver; Degree (music); Biological network; Degree distribution; Computer science; Network topology; Reduction (mathematics); Computational complexity theory; Representation (politics); Evolutionary algorithm; Mathematics; Random graph; Mathematical optimization; Algorithm; Theoretical computer science; Graph; Complex network; Combinatorics","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":[0.0001493977,0.0001993426,0.0001680538,0.00008564905,0.00008278779,0.00001956828,0.0002460929,0.0003734533,0.00002317517],"category_scores_gemma":[0.00001481568,0.0002576153,0.0001651803,0.0002188033,0.00006909078,0.000003873443,0.0003414572,0.0001791571,0.00003163357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018443,"about_ca_system_score_gemma":0.0002609303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006003975,"about_ca_topic_score_gemma":0.00005447805,"domain_scores_codex":[0.99884,0.0001151736,0.0001225515,0.0006647662,0.00007037251,0.0001871643],"domain_scores_gemma":[0.9991229,0.000004977763,0.0001554085,0.0003138625,0.0002826495,0.0001201789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004165269,0.0000425124,0.006929394,0.00001167685,0.0001743064,0.000002722379,0.000005032314,0.9643745,0.002154332,0.0007408838,0.02548325,0.00003972579],"study_design_scores_gemma":[0.0009615716,0.0001749909,0.003232926,0.00002727447,0.000465224,0.00001085625,0.00006877567,0.9514012,0.001923077,0.02952024,0.01131014,0.0009037202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8101172,0.0003862216,0.1884409,0.00001762538,0.0001501731,0.0001156114,0.00003455054,0.00003244512,0.0007052199],"genre_scores_gemma":[0.9954705,0.0000433726,0.0002266804,0.00002756132,0.0002116815,7.447322e-7,0.001023008,0.0000206175,0.002975788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1882143,"threshold_uncertainty_score":0.9999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745180192094429,"score_gpt":0.1782586389101283,"score_spread":0.150806836989184,"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."}}