{"id":"W2156721227","doi":"10.1002/iub.489","title":"How a neutral evolutionary ratchet can build cellular complexity","year":2011,"lang":"en","type":"review","venue":"IUBMB Life","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Centre National d’Etudes Spatiales; Canadian Institute for Advanced Research","keywords":"Constructive; Function (biology); Process (computing); Component (thermodynamics); Selection (genetic algorithm); Biology; Computer science; Ratchet; Cognitive science; Evolutionary biology; Artificial intelligence; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008704669,0.0006722164,0.0006828224,0.001367474,0.0004757117,0.001332724,0.0009857669,0.002326827,0.001895622],"category_scores_gemma":[0.001165545,0.0002420392,0.0003632224,0.0007345375,0.003248893,0.003227957,0.0007744328,0.002051261,0.00120106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466445,"about_ca_system_score_gemma":0.0007033136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009529486,"about_ca_topic_score_gemma":0.001142673,"domain_scores_codex":[0.9997162,0.00008439232,0.00001902018,0.0000719592,0.00008218696,0.00002607311],"domain_scores_gemma":[0.9996593,0.0002178743,0.00002274378,0.00002526951,0.00005440487,0.00002033993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000474527,0.00002772002,0.0002590226,0.003924841,0.00005787606,0.0005257893,0.000359246,0.003281747,0.002578409,0.3410172,0.02310071,0.6248199],"study_design_scores_gemma":[0.00001221513,0.00005062654,0.0005267512,0.001112461,0.00002609013,0.001430096,0.0001176356,0.0006967955,0.001179008,0.1268393,0.86797,0.0000389889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009077779,0.978969,0.004603581,0.003496303,0.001045074,0.000008411448,0.00001221217,0.00003970562,0.01091797],"genre_scores_gemma":[0.01768107,0.9721935,0.00207237,0.001414528,0.0008687932,0.00002095182,0.00001991719,0.0000126311,0.005716146],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002326827,"threshold_uncertainty_score":0.01063979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0564455221243998,"score_gpt":0.2879806405569278,"score_spread":0.2315351184325281,"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."}}