{"id":"W1892760407","doi":"10.1109/spire.1999.796577","title":"Circular contextual insertions/deletions with applications to biomolecular computation","year":2003,"lang":"en","type":"article","venue":"","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computation; Rewriting; DNA computing; Computer science; DNA; Circular DNA; Theoretical computer science; Algorithm; Genetics; Biology; Genome; Programming language; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001003186,0.0001101177,0.00008434238,0.00003871315,0.0001472577,0.0000270632,0.00009029153,0.00007337157,0.00002053352],"category_scores_gemma":[0.00003943289,0.00008452669,0.00004564768,0.0002258886,0.0000468998,0.000001814748,0.00003061556,0.00004431726,0.00005232477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009229469,"about_ca_system_score_gemma":0.00003884183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006559467,"about_ca_topic_score_gemma":0.000009762657,"domain_scores_codex":[0.9992341,0.00005834173,0.0001381338,0.0003098622,0.00008186779,0.0001777271],"domain_scores_gemma":[0.9995523,0.00000951008,0.00003088251,0.0001801215,0.0001229773,0.0001041831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002247914,0.0001503308,0.001987543,0.000006423214,0.00004979171,0.000002418825,0.00001500321,0.001084164,0.9805716,0.01126808,0.0007880324,0.004054163],"study_design_scores_gemma":[0.001406704,0.001725745,0.00525681,0.00001983604,0.00005273331,0.0001292604,0.0003769035,0.0003930727,0.3584885,0.001068636,0.630164,0.000917821],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2836947,0.00007389341,0.710059,0.0001628909,0.00001671253,0.0002901334,0.000003508123,0.0000291661,0.005669978],"genre_scores_gemma":[0.9805738,0.000004087713,0.01765195,0.001315263,0.00004059126,0.00008031847,0.0001068263,0.00001022612,0.0002168806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6968791,"threshold_uncertainty_score":0.3446898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628470030553776,"score_gpt":0.2649685206745533,"score_spread":0.2486838203690156,"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."}}