{"id":"W2003488164","doi":"10.1214/009117904000000081","title":"More rigorous results on the Kauffman–Levin model of evolution","year":2004,"lang":"en","type":"article","venue":"The Annals of Probability","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Heuristics; Mathematical proof; Maxima and minima; Maxima; Distribution (mathematics); Asymptotic distribution","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009055868,0.0001005639,0.0001149521,0.00001330819,0.00006736566,0.000003576912,0.0003101395,0.000086421,0.000002558674],"category_scores_gemma":[0.0004062997,0.00005849421,0.0001207962,0.00008018866,0.0003634715,0.000002006074,0.0000924558,0.00008418861,0.000002556212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001320344,"about_ca_system_score_gemma":0.0001135378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006338675,"about_ca_topic_score_gemma":0.0000868498,"domain_scores_codex":[0.9990712,0.00009734107,0.0002966342,0.0002089716,0.0001756602,0.0001502128],"domain_scores_gemma":[0.9987589,0.00002403461,0.0001600783,0.0008056516,0.0002213159,0.00003001371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001246745,0.0007599126,0.0003376068,0.00008285427,0.00009742515,1.726098e-7,0.0006420347,0.6681103,0.203563,0.1217441,0.002594847,0.0008210191],"study_design_scores_gemma":[0.001703359,0.001600694,0.02602641,0.00007744866,0.00005215766,0.000005476067,0.000307189,0.03026357,0.4205059,0.518012,0.001039037,0.000406791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982456,0.000193928,0.006373878,0.009167239,0.0000281472,0.0003176275,0.00009895223,0.000006697014,0.001357589],"genre_scores_gemma":[0.9986792,0.0000534286,0.0006607444,0.0003646674,0.00002864512,0.00001054349,0.00002020078,0.0000064941,0.0001761332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6378467,"threshold_uncertainty_score":0.2385324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06982574494663467,"score_gpt":0.3127247966789169,"score_spread":0.2428990517322822,"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."}}