{"id":"W4322744154","doi":"10.1002/cphc.202300084","title":"Cover Feature: Structural Properties of Hachimoji Nucleic Acids and Their Building Blocks: Comparison of Genetic Systems with Four, Six and Eight Alphabets (ChemPhysChem 5/2023)","year":2023,"lang":"en","type":"article","venue":"ChemPhysChem","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Cover (algebra); Nucleic acid; Feature (linguistics); Molecular dynamics; Chemistry; DNA; RNA; Computational chemistry; Stability (learning theory); Energetics; Biological system; Computational biology; Nanotechnology; Computer science; Biology; Materials science; Engineering; Physics; Biochemistry; Thermodynamics; Machine learning; Gene; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001041712,0.0003929862,0.0005691096,0.00005459061,0.00009867326,0.00003912618,0.0002588059,0.0002803437,0.000006870366],"category_scores_gemma":[0.00003965566,0.000295332,0.00009261614,0.0002232555,0.0004265838,0.00001457075,0.0002880273,0.0001749809,0.000001400043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000179291,"about_ca_system_score_gemma":0.00005988954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001584288,"about_ca_topic_score_gemma":0.000002385082,"domain_scores_codex":[0.9984547,0.00002660766,0.000368008,0.0005537664,0.0002246017,0.0003723381],"domain_scores_gemma":[0.9989414,0.00002248965,0.0002789054,0.0004754601,0.0001386243,0.000143172],"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":[0.0001753737,0.00003338618,0.02005802,0.0007079523,0.0002266794,0.000002219129,0.0002449948,0.00004567688,0.9760963,0.000008449651,0.0016648,0.0007361333],"study_design_scores_gemma":[0.000994759,0.0002057763,0.002894758,0.0002180014,0.00006410909,0.00005292938,0.0008160989,0.001391664,0.9913647,0.00001448724,0.001617878,0.0003648596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929278,0.006271357,0.00004994451,0.00005507573,0.0000715307,0.0002395779,0.00004986869,0.0000334489,0.0003013289],"genre_scores_gemma":[0.9983546,0.0001783987,0.0005493816,0.00002048626,0.000162204,0.00002391713,0.00006670163,0.00005932172,0.0005849992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01716326,"threshold_uncertainty_score":0.9999499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239377336135937,"score_gpt":0.2242433917845038,"score_spread":0.2118496184231444,"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."}}