{"id":"W2399031292","doi":"","title":"Perspectives on protein evolution from simple exact models.","year":2002,"lang":"en","type":"article","venue":"PubMed","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Generality; Computational biology; Neutral network; Robustness (evolution); Computer science; RNA; Simple (philosophy); Biology; Sequence (biology); Theoretical computer science; Genetics; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005258512,0.0001086942,0.00008652559,0.00002130204,0.00006920925,0.00001482712,0.0001007564,0.00006632257,0.00001753362],"category_scores_gemma":[0.00003655891,0.0001012846,0.00005899773,0.00003678478,0.00003812651,7.527845e-7,0.00005434317,0.00004451445,0.00001082108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002705168,"about_ca_system_score_gemma":0.000004349582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006334935,"about_ca_topic_score_gemma":0.00001726991,"domain_scores_codex":[0.9992809,0.0000262466,0.00008998271,0.000303242,0.00007821628,0.0002213738],"domain_scores_gemma":[0.9996303,0.000005409604,0.00003580646,0.0002374627,0.00003534348,0.00005567233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006000912,0.001559553,0.009799719,0.00003450306,0.001248813,0.00001287882,0.003532594,0.00513791,0.7026814,0.01111702,0.02664137,0.2376342],"study_design_scores_gemma":[0.004073025,0.0008579402,0.663842,0.0000164591,0.0001209577,0.000007247834,0.003230816,0.004877676,0.1817483,0.03935665,0.09989173,0.001977203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857052,0.004097776,0.0003743457,0.0001929048,0.00005362462,0.0004192117,0.00004318396,0.000006413722,0.009107322],"genre_scores_gemma":[0.9980013,0.0001883146,0.0001482779,0.00006312594,0.0002688682,0.0005494648,0.00001333968,0.00001456206,0.0007527217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6540423,"threshold_uncertainty_score":0.4130265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276787259173058,"score_gpt":0.1936545296081108,"score_spread":0.1708866570163803,"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."}}