{"id":"W4252021514","doi":"10.1002/cphc.201900484","title":"Can Cyanuric Acid and 2,4,6‐Triaminopyrimidine Containing Ribonucleosides be Components of Prebiotic RNA? Insights from QM Calculations and MD Simulations","year":2019,"lang":"en","type":"article","venue":"ChemPhysChem","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Science and Technology, Ministry of Science and Technology, India; University of Lethbridge","keywords":"Cyanuric acid; Prebiotic; Nucleobase; Chemistry; RNA; Computational chemistry; Stereochemistry; Computational biology; Biology; Organic chemistry; DNA; Biochemistry; Melamine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004729597,0.0001681731,0.0002379358,0.00004278526,0.00007710187,0.00002212861,0.00009418985,0.0001501766,0.00002357571],"category_scores_gemma":[0.00006000073,0.0001625313,0.0000490051,0.00006440925,0.00007402014,0.000009374543,0.00010919,0.00005852808,0.000001921268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009367411,"about_ca_system_score_gemma":0.00003104019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001052862,"about_ca_topic_score_gemma":0.00002875783,"domain_scores_codex":[0.9991498,0.0000386645,0.0002256539,0.0003301423,0.0001097111,0.0001460255],"domain_scores_gemma":[0.9993687,0.00005873973,0.0001275894,0.0002921926,0.00006188104,0.00009085825],"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":[0.00004934376,0.00003380052,0.00330484,0.00002791125,0.00007490943,5.688885e-7,0.0001775886,0.0000389064,0.9955598,0.0002805067,0.00001617458,0.0004356568],"study_design_scores_gemma":[0.0007676131,0.0001158313,0.007200687,0.00004535509,0.00004664033,0.000001966667,0.0001026173,0.0008306314,0.9896612,0.0004763086,0.0005622039,0.0001889002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975164,0.001554077,0.0001680186,0.00009919646,0.00005716845,0.00027087,0.00007994472,0.00001179321,0.0002425237],"genre_scores_gemma":[0.9977031,0.00008678016,0.001671526,0.00008022876,0.00006804488,0.000006053576,0.0002850143,0.00002228721,0.00007696798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005898548,"threshold_uncertainty_score":0.6627833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790203832243104,"score_gpt":0.2343007825710455,"score_spread":0.2163987442486144,"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."}}