{"id":"W1964440534","doi":"10.1023/b:joco.0000017385.39168.0d","title":"Exordium for DNA Codes","year":2003,"lang":"en","type":"article","venue":"Journal of Combinatorial Optimization","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Los Alamos National Laboratory; Francis Crick Institute; Alexander von Humboldt-Stiftung; University of California Berkeley; Laboratory Directed Research and Development; U.S. Department of Energy; University of Calgary; National Science Foundation","keywords":"Generalization; Computer science; Sequence (biology); DNA; Code (set theory); Theoretical computer science; Combinatorics; Mathematics; Discrete mathematics; Genetics; Biology; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005790778,0.0005863749,0.0005797855,0.00100529,0.0009631858,0.001546086,0.001053313,0.0008301202,0.01320208],"category_scores_gemma":[0.003774264,0.000218986,0.0005880463,0.0009781375,0.00112932,0.001865525,0.002567719,0.001875265,0.003119666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006877856,"about_ca_system_score_gemma":0.0005526999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005329697,"about_ca_topic_score_gemma":0.000760949,"domain_scores_codex":[0.9993346,0.0002031702,0.00004267207,0.00009950815,0.0002212279,0.00009884503],"domain_scores_gemma":[0.9992323,0.0003190476,0.00004517627,0.0002263918,0.0001235966,0.00005352678],"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":[0.00006338455,0.00001735755,0.0001119653,0.00005961091,0.000006070932,0.00005123461,0.00005909576,0.003226752,0.0008753205,0.9347212,0.007003559,0.05380434],"study_design_scores_gemma":[0.00001262447,0.00002130276,0.00007222642,0.00003678535,0.00000623821,0.0001052101,0.00001767119,0.02327645,0.001501915,0.9451825,0.02975767,0.000009327316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03216536,0.001943507,0.8117452,0.002346967,0.001662986,0.0001020865,0.0005378927,0.001394477,0.1481016],"genre_scores_gemma":[0.5654153,0.001867887,0.3064361,0.001757711,0.001040151,0.0004486535,0.0009463429,0.001619424,0.1204684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01320208,"threshold_uncertainty_score":0.04416531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075103160510034,"score_gpt":0.2501131395328206,"score_spread":0.2393621079277203,"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."}}