{"id":"W6891806208","doi":"10.48550/arxiv.physics/0109020","title":"Optimal adaptive performance and delocalization in NK fitness landscapes","year":2001,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"Fitness landscape; Mutation; Population; Maxima and minima; Sequence (biology); Traverse; Transition (genetics); Mutation rate; Evolutionary dynamics","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":[0.001153979,0.0003338496,0.0006102596,0.0005861151,0.000503491,0.001008856,0.0007193746,0.0007024268,0.001403755],"category_scores_gemma":[0.007394409,0.0002539195,0.0003576587,0.0002427257,0.001449156,0.001323951,0.001235107,0.0005440631,0.0001807663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147532,"about_ca_system_score_gemma":0.000503904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002224152,"about_ca_topic_score_gemma":0.001110555,"domain_scores_codex":[0.9997097,0.00009140882,0.00001363519,0.00006556354,0.0000476934,0.00007208889],"domain_scores_gemma":[0.9984456,0.000725186,0.0002712377,0.0001387717,0.0001798987,0.0002394274],"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":[0.0001851906,0.00008564298,0.006369668,0.00006227564,0.00008602739,0.0002253109,0.0003992597,0.8899605,0.02589099,0.05864406,0.0004196713,0.01767148],"study_design_scores_gemma":[0.00001987517,0.00009035205,0.002203746,0.000007994566,0.0000134538,0.00007569721,0.00009646779,0.9747546,0.001817245,0.0206294,0.0002668554,0.00002431122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9081007,0.0001305789,0.08884095,0.0002479931,0.000009296527,0.00002175375,0.00001859787,0.00006721633,0.002562887],"genre_scores_gemma":[0.9910501,0.00006302844,0.007882538,0.00003043456,0.000003484379,0.00003095685,0.00002703686,0.00002111073,0.0008912974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002224152,"threshold_uncertainty_score":0.008325994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399425932251345,"score_gpt":0.1766566683645618,"score_spread":0.1526624090420483,"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."}}