{"id":"W4248633314","doi":"10.1038/npg.els.0001804","title":"Functional Constraint and Molecular Evolution","year":2001,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Constraint (computer-aided design); Molecular evolution; Phenotype; Evolutionary biology; Computational biology; Balance (ability); Genome; Biology; Computer science; Gene; Genetics; Mathematics; Neuroscience","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":[0.0007354621,0.000437788,0.0003513116,0.000779496,0.0005046731,0.001978963,0.0007108346,0.001056841,0.02170082],"category_scores_gemma":[0.001799739,0.0001057709,0.0001565621,0.0008936683,0.003473358,0.002333564,0.001269859,0.001220603,0.002505499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075965,"about_ca_system_score_gemma":0.0004170066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009067899,"about_ca_topic_score_gemma":0.0007961528,"domain_scores_codex":[0.9996783,0.0001192221,0.00001564229,0.00006855116,0.0000788094,0.00003955989],"domain_scores_gemma":[0.9993979,0.0003142545,0.00007029877,0.00007593466,0.00008298455,0.00005865102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002755492,0.00001057108,0.00050299,0.0002096828,0.00001008598,0.0001522561,0.000102732,0.00124014,0.001442144,0.9149174,0.0116684,0.06971595],"study_design_scores_gemma":[0.00001221859,0.00001430543,0.0008792523,0.00008659411,0.000008539135,0.0003749066,0.00008965008,0.002121974,0.0007622932,0.8531749,0.142462,0.00001335436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05726109,0.06035653,0.06404433,0.05087887,0.001392692,0.00004681363,0.0006086067,0.0004164003,0.7649946],"genre_scores_gemma":[0.7894164,0.04547678,0.02466656,0.004903823,0.001764651,0.0001177589,0.0006958257,0.0001563487,0.1328019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02170082,"threshold_uncertainty_score":0.07259649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007472889086518182,"score_gpt":0.2350965259454909,"score_spread":0.2276236368589727,"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."}}