{"id":"W2485414950","doi":"10.1145/2908812.2908940","title":"Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network","year":2016,"lang":"en","type":"article","venue":"","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Evolvability; Computer science; Vertex (graph theory); Phenotype; Theoretical computer science; Evolutionary biology; Biology; Genetics; Graph; Gene","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":[0.001258738,0.0003874787,0.0003928291,0.001929759,0.0004805693,0.001050906,0.0005949683,0.0006566122,0.001230675],"category_scores_gemma":[0.00804167,0.0002467638,0.0003898967,0.0009534849,0.001301624,0.00176252,0.0007073858,0.0004827912,0.00009326939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013673,"about_ca_system_score_gemma":0.0003511245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669396,"about_ca_topic_score_gemma":0.001105525,"domain_scores_codex":[0.9996037,0.0001736645,0.00001289277,0.00008908328,0.00006952086,0.00005120425],"domain_scores_gemma":[0.9936614,0.004378922,0.0009487999,0.0003040345,0.0003845217,0.0003222817],"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":[0.0001388656,0.00004297766,0.0127519,0.00007162722,0.00006624308,0.0002965976,0.000281922,0.8611727,0.01771514,0.09704719,0.0002970633,0.01011768],"study_design_scores_gemma":[0.000006235935,0.00002688076,0.003482988,0.000008843429,0.00001345405,0.0001010698,0.00005165556,0.9653347,0.001277995,0.02946697,0.0002142663,0.00001502637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7283881,0.0002759426,0.2679895,0.0002856042,0.00001525663,0.0000305923,0.0001302555,0.000140859,0.002743855],"genre_scores_gemma":[0.9900109,0.00008679826,0.009370364,0.00001134135,0.000006860439,0.00002161936,0.00004361782,0.00001963876,0.0004288433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001929759,"threshold_uncertainty_score":0.007354677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953209417868047,"score_gpt":0.2927178454368802,"score_spread":0.2731857512581997,"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."}}