{"id":"W4406424764","doi":"10.26434/chemrxiv-2024-l40ch-v2","title":"Compositional and functional diversity of minimal primitive coacervates in a nucleic acid-peptide world","year":2025,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; China Scholarship Council; Government of the United Kingdom; Université de Strasbourg; Agence Nationale de la Recherche; HORIZON EUROPE Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Natural Sciences and Engineering Research Council of Canada; International Business Machines Corporation; European Commission; Engineering and Physical Sciences Research Council; UK Research and Innovation","keywords":"Nucleic acid; Coacervate; Diversity (politics); Functional diversity; Peptide nucleic acid; Peptide; Chemistry; Computational biology; Combinatorial chemistry; Biochemistry; Biology; Ecology; Political science","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":[0.00031868,0.0002350282,0.0004227462,0.0002316601,0.0003049629,0.0009083257,0.000335702,0.0004581183,0.001958821],"category_scores_gemma":[0.0009132604,0.0003685448,0.0003476836,0.0001704034,0.00065806,0.0008251491,0.0006591505,0.0004280756,0.0005423049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002780837,"about_ca_system_score_gemma":0.0002990459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001804774,"about_ca_topic_score_gemma":0.0002530244,"domain_scores_codex":[0.999796,0.00003442165,0.00001262436,0.00007645797,0.00004136645,0.00003920465],"domain_scores_gemma":[0.9997395,0.00009939137,0.0000490717,0.00003003273,0.00002976718,0.00005216098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005182936,0.00008935556,0.002724778,0.0004761163,0.00007275976,0.0002705896,0.0001634882,0.02964325,0.9363073,0.01859406,0.0003151994,0.01082472],"study_design_scores_gemma":[0.0001092346,0.0006365049,0.003824807,0.0000372495,0.00009863309,0.0003706988,0.0001795135,0.1474251,0.8241026,0.01339568,0.009737629,0.00008236168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750556,0.0006722629,0.0213372,0.00009467502,0.00001814215,0.00001682165,0.0001148094,0.0002028267,0.002487647],"genre_scores_gemma":[0.9880766,0.0002768339,0.0106225,0.00003730133,0.000005168176,0.00004182063,0.000146392,0.00007862905,0.0007147186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001958821,"threshold_uncertainty_score":0.006552875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800358891761833,"score_gpt":0.2364350752338773,"score_spread":0.2184314863162589,"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."}}